library(tidyverse)## Warning: package 'tidyverse' was built under R version 4.3.2## Warning: package 'readr' was built under R version 4.3.2## Warning: package 'forcats' was built under R version 4.3.2## Warning: package 'lubridate' was built under R version 4.3.2## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.3 ✔ readr 2.1.4
## ✔ forcats 1.0.0 ✔ stringr 1.5.0
## ✔ ggplot2 3.4.4 ✔ tibble 3.2.1
## ✔ lubridate 1.9.3 ✔ tidyr 1.3.0
## ✔ purrr 1.0.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors##Membaca Data
data <- read.csv("C:/Users/ggh/Downloads/world-data-2023.csv")
View(data)##Menghitng banyak missing value
data %>%
filter_all(any_vars(is.na(.))) %>%
nrow## [1] 16##Menghapus semua missing data
data <- data %>%
filter_all(all_vars(!is.na(.)))
data## Country Density..P.Km2. Abbreviation
## 1 Afghanistan 60 AF
## 2 Albania 105 AL
## 3 Algeria 18 DZ
## 4 Angola 26 AO
## 5 Antigua and Barbuda 223 AG
## 6 Argentina 17 AR
## 7 Armenia 104 AM
## 8 Australia 3 AU
## 9 Austria 109 AT
## 10 Azerbaijan 123 AZ
## 11 The Bahamas 39 BS
## 12 Bahrain 2,239 BH
## 13 Bangladesh 1,265 BD
## 14 Barbados 668 BB
## 15 Belarus 47 BY
## 16 Belgium 383 BE
## 17 Belize 17 BZ
## 18 Benin 108 BJ
## 19 Bhutan 20 BT
## 20 Bolivia 11 BO
## 21 Bosnia and Herzegovina 64 BA
## 22 Botswana 4 BW
## 23 Brazil 25 BR
## 24 Brunei 83 BN
## 25 Bulgaria 64 BG
## 26 Burkina Faso 76 BF
## 27 Burundi 463 BI
## 28 Ivory Coast 83 CI
## 29 Cape Verde 138 CV
## 30 Cambodia 95 KH
## 31 Cameroon 56 CM
## 32 Canada 4 CA
## 33 Central African Republic 8 CF
## 34 Chad 13 TD
## 35 Chile 26 CL
## 36 China 153 CN
## 37 Colombia 46 CO
## 38 Comoros 467 KM
## 39 Republic of the Congo 16
## 40 Costa Rica 100 CR
## 41 Croatia 73 HR
## 42 Cuba 106 CU
## 43 Cyprus 131 CY
## 44 Czech Republic 139 CZ
## 45 Democratic Republic of the Congo 40 CD
## 46 Denmark 137 DK
## 47 Djibouti 43 DJ
## 48 Dominican Republic 225 DO
## 49 Ecuador 71 EC
## 50 Egypt 103 EG
## 51 El Salvador 313 SV
## 52 Equatorial Guinea 50 GQ
## 53 Eritrea 35 ER
## 54 Estonia 31 EE
## 55 Ethiopia 115 ET
## 56 Fiji 49 FJ
## 57 Finland 18 FI
## 58 France 119 FR
## 59 Gabon 9 GA
## 60 The Gambia 239 GM
## 61 Georgia 57 GE
## 62 Germany 240 DE
## 63 Ghana 137 GH
## 64 Greece 81 GR
## 65 Grenada 331 GD
## 66 Guatemala 167 GT
## 67 Guinea 53 GN
## 68 Guinea-Bissau 70 GW
## 69 Guyana 4 GY
## 70 Haiti 414 HT
## 71 Honduras 89 HN
## 72 Hungary 107 HU
## 73 Iceland 3 IS
## 74 India 464 IN
## 75 Indonesia 151 ID
## 76 Iran 52 IR
## 77 Iraq 93 IQ
## 78 Republic of Ireland 72
## 79 Israel 400 IL
## 80 Italy 206 IT
## 81 Jamaica 273 JM
## 82 Japan 347 JP
## 83 Jordan 115 JO
## 84 Kazakhstan 7 KZ
## 85 Kenya 94 KE
## 86 Kiribati 147 KI
## 87 Kuwait 240 KW
## 88 Kyrgyzstan 34 KG
## 89 Laos 32 LA
## 90 Latvia 30 LV
## 91 Lebanon 667 LB
## 92 Lesotho 71 LS
## 93 Liberia 53 LR
## 94 Libya 4 LY
## 95 Lithuania 43 LT
## 96 Luxembourg 242 LU
## 97 Madagascar 48 MG
## 98 Malawi 203 MW
## 99 Malaysia 99 MY
## 100 Maldives 1,802 MV
## 101 Mali 17 ML
## 102 Malta 1,380 MT
## 103 Mauritania 5 MR
## 104 Mauritius 626 MU
## 105 Mexico 66 MX
## 106 Federated States of Micronesia 784 FM
## 107 Moldova 123 MD
## 108 Mongolia 2 MN
## 109 Montenegro 47 ME
## 110 Morocco 83 MA
## 111 Mozambique 40 MZ
## 112 Myanmar 83 MM
## 113 Namibia 3
## 114 Nepal 203 NP
## 115 Netherlands 508 NL
## 116 New Zealand 18 NZ
## 117 Nicaragua 55 NI
## 118 Niger 19 NE
## 119 Nigeria 226 NG
## 120 North Korea 214 KP
## 121 Norway 15 NO
## 122 Oman 16 OM
## 123 Pakistan 287 PK
## 124 Panama 58 PA
## 125 Papua New Guinea 20 PG
## 126 Paraguay 18 PY
## 127 Peru 26 PE
## 128 Philippines 368 PH
## 129 Poland 124 PL
## 130 Portugal 111 PT
## 131 Qatar 248 QA
## 132 Romania 84 RO
## 133 Russia 9 RU
## 134 Rwanda 525 RW
## 135 Saint Lucia 301 LC
## 136 Saint Vincent and the Grenadines 284 VC
## 137 Samoa 70 WS
## 138 Saudi Arabia 16 SA
## 139 Senegal 87 SN
## 140 Serbia 100 RS
## 141 Seychelles 214 SC
## 142 Sierra Leone 111 SL
## 143 Singapore 8,358 SG
## 144 Slovakia 114 SK
## 145 Slovenia 103 SI
## 146 Solomon Islands 25 SB
## 147 Somalia 25 SO
## 148 South Africa 49 ZA
## 149 South Korea 527 KR
## 150 Spain 94 ES
## 151 Sri Lanka 341 LK
## 152 Sudan 25 SD
## 153 Suriname 4 SR
## 154 Sweden 25 SE
## 155 Switzerland 219 CH
## 156 Syria 95 SY
## 157 Tajikistan 68 TJ
## 158 Tanzania 67 TZ
## 159 Thailand 137 TH
## 160 East Timor 89 TL
## 161 Togo 152 TG
## 162 Tonga 147 TO
## 163 Trinidad and Tobago 273 TT
## 164 Tunisia 76 TN
## 165 Turkey 110 TR
## 166 Turkmenistan 13 TM
## 167 Uganda 229 UG
## 168 Ukraine 75 UA
## 169 United Arab Emirates 118 AE
## 170 United Kingdom 281 GB
## 171 United States 36 US
## 172 Uruguay 20 UY
## 173 Uzbekistan 79 UZ
## 174 Vanuatu 25 VU
## 175 Venezuela 32 VE
## 176 Vietnam 314 VN
## 177 Yemen 56 YE
## 178 Zambia 25 ZM
## 179 Zimbabwe 38 ZW
## Agricultural.Land.... Land.Area.Km2. Armed.Forces.size Birth.Rate
## 1 58.10% 652,230 323,000 32.49
## 2 43.10% 28,748 9,000 11.78
## 3 17.40% 2,381,741 317,000 24.28
## 4 47.50% 1,246,700 117,000 40.73
## 5 20.50% 443 0 15.33
## 6 54.30% 2,780,400 105,000 17.02
## 7 58.90% 29,743 49,000 13.99
## 8 48.20% 7,741,220 58,000 12.60
## 9 32.40% 83,871 21,000 9.70
## 10 57.70% 86,600 82,000 14.00
## 11 1.40% 13,880 1,000 13.97
## 12 11.10% 765 19,000 13.99
## 13 70.60% 148,460 221,000 18.18
## 14 23.30% 430 1,000 10.65
## 15 42.00% 207,600 155,000 9.90
## 16 44.60% 30,528 32,000 10.30
## 17 7.00% 22,966 2,000 20.79
## 18 33.30% 112,622 12,000 36.22
## 19 13.60% 38,394 6,000 17.26
## 20 34.80% 1,098,581 71,000 21.75
## 21 43.10% 51,197 11,000 8.11
## 22 45.60% 581,730 9,000 24.82
## 23 33.90% 8,515,770 730,000 13.92
## 24 2.70% 5,765 8,000 14.90
## 25 46.30% 110,879 31,000 8.90
## 26 44.20% 274,200 11,000 37.93
## 27 79.20% 27,830 31,000 39.01
## 28 64.80% 322,463 27,000 35.74
## 29 19.60% 4,033 1,000 19.49
## 30 30.90% 181,035 191,000 22.46
## 31 20.60% 475,440 24,000 35.39
## 32 6.90% 9,984,670 72,000 10.10
## 33 8.20% 622,984 8,000 35.35
## 34 39.70% 1,284,000 35,000 42.17
## 35 21.20% 756,096 122,000 12.43
## 36 56.20% 9,596,960 2,695,000 10.90
## 37 40.30% 1,138,910 481,000 14.88
## 38 71.50% 2,235 31.88
## 39 31.10% 342,000 12,000 32.86
## 40 34.50% 51,100 10,000 13.97
## 41 27.60% 56,594 18,000 9.00
## 42 59.90% 110,860 76,000 10.17
## 43 12.20% 9,251 16,000 10.46
## 44 45.20% 78,867 23,000 10.70
## 45 11.60% 2,344,858 134,000 41.18
## 46 62.00% 43,094 15,000 10.60
## 47 73.40% 23,200 13,000 21.47
## 48 48.70% 48,670 71,000 19.51
## 49 22.20% 283,561 41,000 19.72
## 50 3.80% 1,001,450 836,000 26.38
## 51 76.40% 21,041 42,000 18.25
## 52 10.10% 28,051 1,000 33.24
## 53 75.20% 117,600 202,000 30.30
## 54 23.10% 45,228 6,000 10.90
## 55 36.30% 1,104,300 138,000 32.34
## 56 23.30% 18,274 4,000 21.28
## 57 7.50% 338,145 25,000 8.60
## 58 52.40% 643,801 307,000 11.30
## 59 20.00% 267,667 7,000 31.61
## 60 59.80% 11,300 1,000 38.54
## 61 34.50% 69,700 26,000 13.47
## 62 47.70% 357,022 180,000 9.50
## 63 69.00% 238,533 16,000 29.41
## 64 47.60% 131,957 146,000 8.10
## 65 23.50% 349 16.47
## 66 36.00% 108,889 43,000 24.56
## 67 59.00% 245,857 13,000 36.36
## 68 58.00% 36,125 4,000 35.13
## 69 8.60% 214,969 3,000 19.97
## 70 66.80% 27,750 0 24.35
## 71 28.90% 112,090 23,000 21.60
## 72 58.40% 93,028 40,000 9.60
## 73 18.70% 103,000 0 12.00
## 74 60.40% 3,287,263 3,031,000 17.86
## 75 31.50% 1,904,569 676,000 18.07
## 76 28.20% 1,648,195 563,000 18.78
## 77 21.40% 438,317 209,000 29.08
## 78 64.50% 70,273 9,000 12.50
## 79 24.60% 20,770 178,000 20.80
## 80 43.20% 301,340 347,000 7.30
## 81 41.00% 10,991 4,000 16.10
## 82 12.30% 377,944 261,000 7.40
## 83 12.00% 89,342 116,000 21.98
## 84 80.40% 2,724,900 71,000 21.77
## 85 48.50% 580,367 29,000 28.75
## 86 42.00% 811 27.89
## 87 8.40% 17,818 25,000 13.94
## 88 55.00% 199,951 21,000 27.10
## 89 10.30% 236,800 129,000 23.55
## 90 31.10% 64,589 6,000 10.00
## 91 64.30% 10,400 80,000 17.55
## 92 77.60% 30,355 2,000 26.81
## 93 28.00% 111,369 2,000 33.04
## 94 8.70% 1,759,540 0 18.83
## 95 47.20% 65,300 34,000 10.00
## 96 53.70% 2,586 2,000 10.30
## 97 71.20% 587,041 22,000 32.66
## 98 61.40% 118,484 15,000 34.12
## 99 26.30% 329,847 136,000 16.75
## 100 26.30% 298 5,000 14.20
## 101 33.80% 1,240,192 18,000 41.54
## 102 32.40% 316 2,000 9.20
## 103 38.50% 1,030,700 21,000 33.69
## 104 42.40% 2,040 3,000 10.20
## 105 54.60% 1,964,375 336,000 17.60
## 106 31.40% 702 22.82
## 107 74.20% 33,851 7,000 10.10
## 108 71.50% 1,564,116 18,000 24.13
## 109 19.00% 13,812 12,000 11.73
## 110 68.50% 446,550 246,000 18.94
## 111 63.50% 799,380 11,000 37.52
## 112 19.50% 676,578 513,000 17.55
## 113 47.10% 824,292 16,000 28.64
## 114 28.70% 147,181 112,000 19.89
## 115 53.30% 41,543 41,000 9.70
## 116 40.50% 268,838 9,000 11.98
## 117 42.10% 130,370 12,000 20.64
## 118 36.10% 1,267,000 10,000 46.08
## 119 77.70% 923,768 215,000 37.91
## 120 21.80% 120,538 1,469,000 13.89
## 121 2.70% 323,802 23,000 10.40
## 122 4.60% 309,500 47,000 19.19
## 123 47.80% 796,095 936,000 28.25
## 124 30.40% 75,420 26,000 18.98
## 125 2.60% 462,840 4,000 27.07
## 126 55.10% 406,752 27,000 20.57
## 127 18.50% 1,285,216 158,000 17.95
## 128 41.70% 300,000 153,000 20.55
## 129 46.90% 312,685 191,000 10.20
## 130 39.50% 92,212 52,000 8.50
## 131 5.80% 11,586 22,000 9.54
## 132 58.80% 238,391 126,000 9.60
## 133 13.30% 17,098,240 1,454,000 11.50
## 134 73.40% 26,338 35,000 31.70
## 135 17.40% 616 12.00
## 136 25.60% 389 14.24
## 137 12.40% 2,831 24.38
## 138 80.80% 2,149,690 252,000 17.80
## 139 46.10% 196,722 19,000 34.52
## 140 39.30% 77,474 32,000 9.20
## 141 3.40% 455 0 17.10
## 142 54.70% 71,740 9,000 33.41
## 143 0.90% 716 81,000 8.80
## 144 39.20% 49,035 16,000 10.60
## 145 30.70% 20,273 7,000 9.40
## 146 3.90% 28,896 32.44
## 147 70.30% 637,657 20,000 41.75
## 148 79.80% 1,219,090 80,000 20.51
## 149 17.40% 99,720 634,000 6.40
## 150 52.60% 505,370 196,000 7.90
## 151 43.70% 65,610 317,000 15.83
## 152 28.70% 1,861,484 124,000 32.18
## 153 0.60% 163,820 2,000 18.54
## 154 7.40% 450,295 30,000 11.40
## 155 38.40% 41,277 21,000 10.00
## 156 75.80% 185,180 239,000 23.69
## 157 34.10% 144,100 17,000 30.76
## 158 44.80% 947,300 28,000 36.70
## 159 43.30% 513,120 455,000 10.34
## 160 25.60% 14,874 2,000 29.42
## 161 70.20% 56,785 10,000 33.11
## 162 45.80% 747 24.30
## 163 10.50% 5,128 4,000 12.94
## 164 64.80% 163,610 48,000 17.56
## 165 49.80% 783,562 512,000 16.03
## 166 72.00% 488,100 42,000 23.83
## 167 71.90% 241,038 46,000 38.14
## 168 71.70% 603,550 297,000 8.70
## 169 5.50% 83,600 63,000 10.33
## 170 71.70% 243,610 148,000 11.00
## 171 44.40% 9,833,517 1,359,000 11.60
## 172 82.60% 176,215 22,000 13.86
## 173 62.90% 447,400 68,000 23.30
## 174 15.30% 12,189 29.60
## 175 24.50% 912,050 343,000 17.88
## 176 39.30% 331,210 522,000 16.75
## 177 44.60% 527,968 40,000 30.45
## 178 32.10% 752,618 16,000 36.19
## 179 41.90% 390,757 51,000 30.68
## Calling.Code Capital.Major.City Co2.Emissions CPI CPI.Change....
## 1 93 Kabul 8,672 149.9 2.30%
## 2 355 Tirana 4,536 119.05 1.40%
## 3 213 Algiers 150,006 151.36 2.00%
## 4 244 Luanda 34,693 261.73 17.10%
## 5 1 St. John's, Saint John 557 113.81 1.20%
## 6 54 Buenos Aires 201,348 232.75 53.50%
## 7 374 Yerevan 5,156 129.18 1.40%
## 8 61 Canberra 375,908 119.8 1.60%
## 9 43 Vienna 61,448 118.06 1.50%
## 10 994 Baku 37,620 156.32 2.60%
## 11 1 Nassau, Bahamas 1,786 116.22 2.50%
## 12 973 Manama 31,694 117.59 2.10%
## 13 880 Dhaka 84,246 179.68 5.60%
## 14 1 Bridgetown 1,276 134.09 4.10%
## 15 375 Minsk 58,280 5.60%
## 16 32 City of Brussels 96,889 117.11 1.40%
## 17 501 Belmopan 568 105.68 -0.90%
## 18 229 Porto-Novo 6,476 110.71 -0.90%
## 19 975 Thimphu 1,261 167.18 2.70%
## 20 591 Sucre 21,606 148.32 1.80%
## 21 387 Sarajevo 21,848 104.9 0.60%
## 22 267 Gaborone 6,340 149.75 2.80%
## 23 55 Bras��� 462,299 167.4 3.70%
## 24 673 Bandar Seri Begawan 7,664 99.03 -0.40%
## 25 359 Sofia 41,708 114.42 3.10%
## 26 226 Ouagadougou 3,418 106.58 -3.20%
## 27 257 Bujumbura 495 182.11 -0.70%
## 28 225 Yamoussoukro 9,674 111.61 -0.90%
## 29 238 Praia 543 110.5 1.10%
## 30 855 Phnom Penh 9,919 127.63 2.50%
## 31 237 Yaound� 8,291 118.65 2.50%
## 32 1 Ottawa 544,894 116.76 1.90%
## 33 236 Bangui 297 186.86 37.10%
## 34 235 N'Djamena 1,016 117.7 -1.00%
## 35 56 Santiago 85,822 131.91 2.60%
## 36 86 Beijing 9,893,038 125.08 2.90%
## 37 57 Bogot� 97,814 140.95 3.50%
## 38 269 Moroni, Comoros 202 103.62 -4.30%
## 39 242 Brazzaville 3,282 124.74 2.20%
## 40 506 San Jos������ 8,023 128.85 2.10%
## 41 385 Zagreb 17,488 109.82 0.80%
## 42 53 Havana 28,284
## 43 357 Nicosia 6,626 102.51 0.30%
## 44 420 Prague 102,218 116.48 2.80%
## 45 243 Kinshasa 2,021 133.85 2.90%
## 46 45 Copenhagen 31,786 110.35 0.80%
## 47 253 Djibouti City 620 120.25 3.30%
## 48 1 Santo Domingo 25,258 135.5 1.80%
## 49 593 Quito 41,155 124.14 0.30%
## 50 20 Cairo 238,560 288.57 9.20%
## 51 503 San Salvador 7,169 111.23 0.10%
## 52 240 Malabo 5,655 124.35 1.20%
## 53 291 Asmara 711
## 54 372 Tallinn 16,590 122.14 2.30%
## 55 251 Addis Ababa 14,870 143.86 15.80%
## 56 679 Suva 2,046 132.3 1.80%
## 57 358 Helsinki 45,871 112.33 1.00%
## 58 33 Paris 303,276 110.05 1.10%
## 59 241 Libreville 5,321 122.19 2.10%
## 60 220 Banjul 532 172.73 7.10%
## 61 995 Tbilisi 10,128 133.61 4.90%
## 62 49 Berlin 727,973 112.85 1.40%
## 63 233 Accra 16,670 268.36 7.20%
## 64 30 Athens 62,434 101.87 0.20%
## 65 1 St. George's, Grenada 268 107.43 0.80%
## 66 502 Guatemala City 16,777 142.92 3.70%
## 67 224 Conakry 2,996 262.95 9.50%
## 68 245 Bissau 293 111.65 1.40%
## 69 592 Georgetown, Guyana 2,384 116.19 2.10%
## 70 509 Port-au-Prince 2,978 179.29 12.50%
## 71 504 Tegucigalpa 9,813 150.34 4.40%
## 72 36 Budapest 45,537 121.64 3.30%
## 73 354 Reykjav�� 2,065 129 3.00%
## 74 91 New Delhi 2,407,672 180.44 7.70%
## 75 62 Jakarta 563,325 151.18 3.00%
## 76 98 Tehran 661,710 550.93 39.90%
## 77 964 Baghdad 190,061 119.86 0.40%
## 78 353 Dublin 37,711 106.58 0.90%
## 79 972 Jerusalem 65,166 108.15 0.80%
## 80 39 Rome 320,411 110.62 0.60%
## 81 1876 Kingston, Jamaica 8,225 162.47 3.90%
## 82 81 Tokyo 1,135,886 105.48 0.50%
## 83 962 Amman 25,108 125.6 0.80%
## 84 7 Astana 247,207 182.75 5.20%
## 85 254 Nairobi 17,910 180.51 4.70%
## 86 686 South Tarawa 66 99.55 0.60%
## 87 965 Kuwait City 98,734 126.6 1.10%
## 88 996 Bishkek 9,787 155.68 1.10%
## 89 856 Vientiane 17,763 135.87 3.30%
## 90 371 Riga 7,004 116.86 2.80%
## 91 961 Beirut 24,796 130.02 3.00%
## 92 266 Maseru 2,512 155.86 5.20%
## 93 231 Monrovia 1,386 223.13 23.60%
## 94 218 50,564 125.71 2.60%
## 95 370 Vilnius 12,963 118.38 2.30%
## 96 352 Luxembourg City 8,988 115.09 1.70%
## 97 261 Antananarivo 3,905 184.33 5.60%
## 98 265 Lilongwe 1,298 418.34 9.40%
## 99 60 Kuala Lumpur 248,289 121.46 0.70%
## 100 960 Mal� 1,445 99.7 0.20%
## 101 223 Bamako 3,179 108.73 -1.70%
## 102 356 Valletta 1,342 113.45 1.60%
## 103 222 Nouakchott 2,739 135.02 2.30%
## 104 230 Port Louis 4,349 129.91 0.40%
## 105 52 Mexico City 486,406 141.54 3.60%
## 106 691 Palikir 143 112.1 0.50%
## 107 373 Chi���� 5,115 166.2 4.80%
## 108 976 Ulaanbaatar 25,368 195.76 7.30%
## 109 382 Podgorica 2,017 116.32 2.60%
## 110 212 Rabat 61,276 111.07 0.20%
## 111 258 Maputo 7,943 182.31 2.80%
## 112 95 Naypyidaw 25,280 168.18 8.80%
## 113 264 Windhoek 4,228 157.97 3.70%
## 114 977 Kathmandu 9,105 188.73 5.60%
## 115 31 Amsterdam 170,780 115.91 2.60%
## 116 64 Wellington 34,382 114.24 1.60%
## 117 505 Managua 5,592 162.74 5.40%
## 118 227 Niamey 2,017 109.32 -2.50%
## 119 234 Abuja 120,369 267.51 11.40%
## 120 850 Pyongyang 28,284
## 121 47 Oslo 41,023 120.27 2.20%
## 122 968 Muscat 63,457 113.53 0.10%
## 123 92 Islamabad 201,150 182.32 10.60%
## 124 507 Panama City 10,715 122.07 -0.40%
## 125 675 Port Moresby 7,536 155.99 3.60%
## 126 595 Asunci�� 7,407 143.82 2.80%
## 127 51 Lima 57,414 129.78 2.10%
## 128 63 Manila 122,287 129.61 2.50%
## 129 48 Warsaw 299,037 114.11 2.20%
## 130 351 Lisbon 48,742 110.62 0.30%
## 131 974 Doha 103,259 115.38 -0.70%
## 132 40 Bucharest 69,259 123.78 3.80%
## 133 7 Moscow 1,732,027 180.75 4.50%
## 134 250 Kigali 1,115 151.09 3.40%
## 135 1 Castries 414 110.13 1.90%
## 136 1 Kingstown 220 109.67 2.30%
## 137 685 Apia 246 117.56 1.00%
## 138 966 Riyadh 563,449 118.4 -1.20%
## 139 221 Dakar 10,902 109.25 1.80%
## 140 381 Belgrade 45,221 144 1.80%
## 141 248 Victoria, Seychelles 605 129.96 1.80%
## 142 232 Freetown 1,093 234.16 14.80%
## 143 65 37,535 114.41 0.60%
## 144 421 Bratislava 32,424 115.34 2.70%
## 145 386 Ljubljana 12,633 111.05 1.60%
## 146 677 Honiara 169 133.06 1.60%
## 147 252 Mogadishu 645
## 148 27 Pretoria 476,644 158.93 4.10%
## 149 82 Seoul 620,302 115.16 0.40%
## 150 34 Madrid 244,002 110.96 0.70%
## 151 94 Colombo 23,362 155.53 3.50%
## 152 249 Khartoum 20,000 1,344.19 51.00%
## 153 597 Paramaribo 1,738 294.66 22.00%
## 154 46 Stockholm 43,252 110.51 1.80%
## 155 41 Bern 34,477 99.55 0.40%
## 156 963 Damascus 28,830 143.2 36.70%
## 157 992 Dushanbe 5,310 148.57 6.00%
## 158 255 Dodoma 11,973 187.43 3.50%
## 159 66 Bangkok 283,763 113.27 0.70%
## 160 670 Dili 495 145.38 2.60%
## 161 228 Lom� 3,000 113.3 0.70%
## 162 676 Nuku���� 128 121.09 7.40%
## 163 1 Port of Spain 43,868 141.75 1.00%
## 164 216 Tunis 29,937 155.33 6.70%
## 165 90 Ankara 372,725 234.44 15.20%
## 166 993 Ashgabat 70,630
## 167 256 Kampala 5,680 173.87 2.90%
## 168 380 Kyiv 202,250 281.66 7.90%
## 169 971 Abu Dhabi 206,324 114.52 -1.90%
## 170 44 London 379,025 119.62 1.70%
## 171 1 Washington, D.C. 5,006,302 117.24 7.50%
## 172 598 Montevideo 6,766 202.92 7.90%
## 173 998 Tashkent 91,811
## 174 678 Port Vila 147 117.13 2.80%
## 175 58 Caracas 164,175 2,740.27 254.90%
## 176 84 Hanoi 192,668 163.52 2.80%
## 177 967 Sanaa 10,609 157.58 8.10%
## 178 260 Lusaka 5,141 212.31 9.20%
## 179 263 Harare 10,983 105.51 0.90%
## Currency.Code Fertility.Rate Forested.Area.... Gasoline.Price
## 1 AFN 4.47 2.10% $0.70
## 2 ALL 1.62 28.10% $1.36
## 3 DZD 3.02 0.80% $0.28
## 4 AOA 5.52 46.30% $0.97
## 5 XCD 1.99 22.30% $0.99
## 6 ARS 2.26 9.80% $1.10
## 7 AMD 1.76 11.70% $0.77
## 8 AUD 1.74 16.30% $0.93
## 9 EUR 1.47 46.90% $1.20
## 10 AZN 1.73 14.10% $0.56
## 11 1.75 51.40% $0.92
## 12 BHD 1.99 0.80% $0.43
## 13 BDT 2.04 11.00% $1.12
## 14 BBD 1.62 14.70% $1.81
## 15 BYN 1.45 42.60% $0.60
## 16 EUR 1.62 22.60% $1.43
## 17 BZD 2.31 59.70% $1.13
## 18 XOF 4.84 37.80% $0.72
## 19 1.98 72.50% $0.98
## 20 BOB 2.73 50.30% $0.71
## 21 BAM 1.27 42.70% $1.05
## 22 BWP 2.87 18.90% $0.71
## 23 BRL 1.73 58.90% $1.02
## 24 BND 1.85 72.10% $0.37
## 25 BGN 1.56 35.40% $1.11
## 26 XOF 5.19 19.30% $0.98
## 27 BIF 5.41 10.90% $1.21
## 28 XOF 4.65 32.70% $0.93
## 29 CVE 2.27 22.50% $1.02
## 30 2.50 52.90% $0.90
## 31 XAF 4.57 39.30% $1.03
## 32 CAD 1.50 38.20% $0.81
## 33 4.72 35.60% $1.41
## 34 XAF 5.75 3.80% $0.78
## 35 CLP 1.65 24.30% $1.03
## 36 CNY 1.69 22.40% $0.96
## 37 COP 1.81 52.70% $0.68
## 38 KMF 4.21 19.70%
## 39 XAF 4.43 65.40% $0.97
## 40 CRC 1.75 54.60% $0.98
## 41 HRK 1.47 34.40% $1.26
## 42 CUP 1.62 31.30% $1.40
## 43 EUR 1.33 18.70% $1.23
## 44 CZK 1.69 34.60% $1.17
## 45 CDF 5.92 67.20% $1.49
## 46 DKK 1.73 14.70% $1.55
## 47 DJF 2.73 0.20% $1.32
## 48 DOP 2.35 41.70% $1.07
## 49 USD 2.43 50.20% $0.61
## 50 EGP 3.33 0.10% $0.40
## 51 2.04 12.60% $0.83
## 52 XAF 4.51 55.50%
## 53 ERN 4.06 14.90% $2.00
## 54 EUR 1.59 51.30% $1.14
## 55 ETB 4.25 12.50% $0.75
## 56 FJD 2.77 55.90% $0.82
## 57 EUR 1.41 73.10% $1.45
## 58 EUR 1.88 31.20% $1.39
## 59 XAF 3.97 90.00% $0.92
## 60 GMD 5.22 48.40% $1.18
## 61 GEL 2.06 40.60% $0.76
## 62 EUR 1.56 32.70% $1.39
## 63 GHS 3.87 41.20% $0.92
## 64 EUR 1.35 31.70% $1.54
## 65 XCD 2.06 50.00% $1.12
## 66 GTQ 2.87 32.70% $0.79
## 67 GNF 4.70 25.80% $0.90
## 68 XOF 4.48 69.80%
## 69 GYD 2.46 83.90% $0.90
## 70 HTG 2.94 3.50% $0.81
## 71 HNL 2.46 40.00% $0.98
## 72 HUF 1.54 22.90% $1.18
## 73 ISK 1.71 0.50% $1.69
## 74 INR 2.22 23.80% $0.97
## 75 IDR 2.31 49.90% $0.63
## 76 IRR 2.14 6.60% $0.40
## 77 IQD 3.67 1.90% $0.61
## 78 EUR 1.75 11.00% $1.37
## 79 ILS 3.09 7.70% $1.57
## 80 EUR 1.29 31.80% $1.61
## 81 JMD 1.98 30.90% $1.11
## 82 1.42 68.50% $1.06
## 83 JOD 2.76 1.10% $1.10
## 84 KZT 2.84 1.20% $0.42
## 85 KES 3.49 7.80% $0.95
## 86 AUD 3.57 15.00%
## 87 KWD 2.08 0.40% $0.35
## 88 KGS 3.30 3.30% $0.56
## 89 LAK 2.67 82.10% $0.93
## 90 EUR 1.60 54.00% $1.16
## 91 LBP 2.09 13.40% $0.74
## 92 3.14 1.60% $0.70
## 93 4.32 43.10% $0.80
## 94 LYD 2.24 0.10% $0.11
## 95 EUR 1.63 34.80% $1.16
## 96 EUR 1.37 35.70% $1.19
## 97 MGA 4.08 21.40% $1.11
## 98 MWK 4.21 33.20% $1.15
## 99 MYR 2.00 67.60% $0.45
## 100 1.87 3.30% $1.63
## 101 XOF 5.88 3.80% $1.12
## 102 EUR 1.23 1.10% $1.36
## 103 MRU 4.56 0.20% $1.13
## 104 MUR 1.41 19.00% $1.12
## 105 MXN 2.13 33.90% $0.73
## 106 USD 3.05 91.90%
## 107 MDL 1.26 12.60% $0.80
## 108 MNT 2.90 8.00% $0.72
## 109 EUR 1.75 61.50% $1.16
## 110 MAD 2.42 12.60% $0.99
## 111 MZN 4.85 48.00% $0.65
## 112 MMK 2.15 43.60% $0.54
## 113 3.40 8.30% $0.76
## 114 NPR 1.92 25.40% $0.91
## 115 1.59 11.20% $1.68
## 116 NZD 1.71 38.60% $1.40
## 117 NIO 2.40 25.90% $0.91
## 118 XOF 6.91 0.90% $0.88
## 119 NGN 5.39 7.20% $0.46
## 120 KPW 1.90 40.70% $0.58
## 121 NOK 1.56 33.20% $1.78
## 122 OMR 2.89 0.00% $0.45
## 123 PKR 3.51 1.90% $0.79
## 124 2.46 61.90% $0.74
## 125 PGK 3.56 74.10% $1.36
## 126 PYG 2.43 37.70% $1.04
## 127 PEN 2.25 57.70% $0.99
## 128 PHP 2.58 27.80% $0.86
## 129 PLN 1.46 30.90% $1.07
## 130 EUR 1.38 34.60% $1.54
## 131 QAR 1.87 0.00% $0.40
## 132 RON 1.71 30.10% $1.16
## 133 RUB 1.57 49.80% $0.59
## 134 RWF 4.04 19.70% $1.17
## 135 XCD 1.44 33.20% $1.30
## 136 XCD 1.89 69.20%
## 137 WST 3.88 60.40% $0.91
## 138 SAR 2.32 0.50% $0.24
## 139 XOF 4.63 42.80% $1.14
## 140 RSD 1.49 31.10% $1.16
## 141 SCR 2.41 88.40%
## 142 SLL 4.26 43.10% $1.08
## 143 SGD 1.14 23.10% $1.25
## 144 EUR 1.52 40.40% $1.32
## 145 EUR 1.60 62.00% $1.32
## 146 SBD 4.40 77.90%
## 147 SOS 6.07 10.00% $1.41
## 148 ZAR 2.41 7.60% $0.92
## 149 KRW 0.98 63.40% $1.22
## 150 EUR 1.26 36.90% $1.26
## 151 LKR 2.20 32.90% $0.88
## 152 SDG 4.41 8.10% $0.95
## 153 SRD 2.42 98.30% $1.29
## 154 SEK 1.76 68.90% $1.42
## 155 CHF 1.52 31.80% $1.45
## 156 SYP 2.81 2.70% $0.83
## 157 TJS 3.59 3.00% $0.71
## 158 TZS 4.89 51.60% $0.87
## 159 THB 1.53 32.20% $0.71
## 160 USD 4.02 45.40% $1.10
## 161 XOF 4.32 3.10% $0.71
## 162 TOP 3.56 12.50%
## 163 TTD 1.73 46.00% $0.54
## 164 TND 2.20 6.80% $0.73
## 165 TRY 2.07 15.40% $1.42
## 166 TMT 2.79 8.80% $0.29
## 167 UGX 4.96 9.70% $0.94
## 168 UAH 1.30 16.70% $0.83
## 169 AED 1.41 4.60% $0.49
## 170 GBP 1.68 13.10% $1.46
## 171 USD 1.73 33.90% $0.71
## 172 UYU 1.97 10.70% $1.50
## 173 UZS 2.42 7.50% $1.03
## 174 VUV 3.78 36.10% $1.31
## 175 VED 2.27 52.70% $0.00
## 176 VND 2.05 48.10% $0.80
## 177 YER 3.79 1.00% $0.92
## 178 ZMW 4.63 65.20% $1.40
## 179 3.62 35.50% $1.34
## GDP Gross.primary.education.enrollment....
## 1 $19,101,353,833 104.00%
## 2 $15,278,077,447 107.00%
## 3 $169,988,236,398 109.90%
## 4 $94,635,415,870 113.50%
## 5 $1,727,759,259 105.00%
## 6 $449,663,446,954 109.70%
## 7 $13,672,802,158 92.70%
## 8 $1,392,680,589,329 100.30%
## 9 $446,314,739,528 103.10%
## 10 $39,207,000,000 99.70%
## 11 $12,827,000,000 81.40%
## 12 $38,574,069,149 99.40%
## 13 $302,571,254,131 116.50%
## 14 $5,209,000,000 99.40%
## 15 $63,080,457,023 100.50%
## 16 $529,606,710,418 103.90%
## 17 $1,879,613,600 111.70%
## 18 $14,390,709,095 122.00%
## 19 $2,446,674,101 100.10%
## 20 $40,895,322,865 98.20%
## 21 $20,047,848,435
## 22 $18,340,510,789 103.20%
## 23 $1,839,758,040,766 115.40%
## 24 $13,469,422,941 103.20%
## 25 $86,000,000,000 89.30%
## 26 $15,745,810,235 96.10%
## 27 $3,012,334,882 121.40%
## 28 $58,792,205,642 99.80%
## 29 $1,981,845,741 104.00%
## 30 $27,089,389,787 107.40%
## 31 $38,760,467,033 103.40%
## 32 $1,736,425,629,520 100.90%
## 33 $2,220,307,369 102.00%
## 34 $11,314,951,343 86.80%
## 35 $282,318,159,745 101.40%
## 36 $19,910,000,000,000 100.20%
## 37 $323,802,808,108 114.50%
## 38 $1,185,728,677 99.50%
## 39 $10,820,591,131 106.60%
## 40 $61,773,944,174 113.30%
## 41 $60,415,553,039 96.50%
## 42 $100,023,000,000 101.90%
## 43 $24,564,647,935 99.30%
## 44 $246,489,245,495 100.70%
## 45 $47,319,624,204 108.00%
## 46 $348,078,018,464 101.30%
## 47 $3,318,716,359 75.30%
## 48 $88,941,298,258 105.70%
## 49 $107,435,665,000 103.30%
## 50 $303,175,127,598 106.30%
## 51 $27,022,640,000 94.80%
## 52 $11,026,774,945 61.80%
## 53 $2,065,001,626 68.40%
## 54 $31,386,949,981 97.20%
## 55 $96,107,662,398 101.00%
## 56 $5,535,548,972 106.40%
## 57 $268,761,201,365 100.20%
## 58 $2,715,518,274,227 102.50%
## 59 $16,657,960,228 139.90%
## 60 $1,763,819,048 98.00%
## 61 $17,743,195,770 98.60%
## 62 $3,845,630,030,824 104.00%
## 63 $66,983,634,224 104.80%
## 64 $209,852,761,469 99.60%
## 65 $1,228,170,370 106.90%
## 66 $76,710,385,880 101.90%
## 67 $13,590,281,809 91.50%
## 68 $1,340,389,411 118.70%
## 69 $4,280,443,645 97.80%
## 70 $8,498,981,821 113.60%
## 71 $25,095,395,475 91.50%
## 72 $160,967,157,504 100.80%
## 73 $24,188,035,739 100.40%
## 74 $2,611,000,000,000 113.00%
## 75 $1,119,190,780,753 106.40%
## 76 $445,345,282,123 110.70%
## 77 $234,094,042,939 108.70%
## 78 $388,698,711,348 100.90%
## 79 $395,098,666,122 104.90%
## 80 $2,001,244,392,042 101.90%
## 81 $16,458,071,068 91.00%
## 82 $5,081,769,542,380 98.80%
## 83 $43,743,661,972 81.50%
## 84 $180,161,741,180 104.40%
## 85 $95,503,088,538 103.20%
## 86 $194,647,202 101.30%
## 87 $134,761,198,946 92.40%
## 88 $8,454,619,608 107.60%
## 89 $18,173,839,128 102.40%
## 90 $34,117,202,555 99.40%
## 91 $53,367,042,272 95.10%
## 92 $2,460,072,444 120.90%
## 93 $3,070,518,100 85.10%
## 94 $52,076,250,948 109.00%
## 95 $54,219,315,600 103.90%
## 96 $71,104,919,108 102.30%
## 97 $14,083,906,357 142.50%
## 98 $7,666,704,427 142.50%
## 99 $364,701,517,788 105.30%
## 100 $5,729,248,472 97.10%
## 101 $17,510,141,171 75.60%
## 102 $14,786,156,563 105.00%
## 103 $7,593,752,450 99.90%
## 104 $14,180,444,557 101.10%
## 105 $1,258,286,717,125 105.80%
## 106 $401,932,279 97.20%
## 107 $11,955,435,457 90.60%
## 108 $13,852,850,259 104.00%
## 109 $5,494,736,901 100.00%
## 110 $118,725,279,596 113.90%
## 111 $14,934,159,926 112.60%
## 112 $76,085,852,617 112.30%
## 113 $12,366,527,719 124.20%
## 114 $30,641,380,604 142.10%
## 115 $909,070,395,161 104.20%
## 116 $206,928,765,544 100.00%
## 117 $12,520,915,291 120.60%
## 118 $12,928,145,120 74.70%
## 119 $448,120,428,859 84.70%
## 120 $32,100,000,000 112.80%
## 121 $403,336,363,636 100.30%
## 122 $76,983,094,928 103.40%
## 123 $304,400,000,000 94.30%
## 124 $66,800,800,000 94.40%
## 125 $24,969,611,435 108.50%
## 126 $38,145,288,940 104.40%
## 127 $226,848,050,820 106.90%
## 128 $376,795,508,680 107.50%
## 129 $592,164,400,688 100.00%
## 130 $237,686,075,635 106.20%
## 131 $183,466,208,791 103.80%
## 132 $250,077,444,017 85.20%
## 133 $1,699,876,578,871 102.60%
## 134 $10,122,472,590 133.00%
## 135 $2,122,450,630 102.60%
## 136 $825,385,185 113.40%
## 137 $850,655,017 110.50%
## 138 $792,966,838,162 99.80%
## 139 $23,578,084,052 81.00%
## 140 $51,409,167,351 100.30%
## 141 $1,698,843,063 100.40%
## 142 $3,941,474,311 112.80%
## 143 $372,062,527,489 100.60%
## 144 $105,422,304,976 98.70%
## 145 $53,742,159,517 100.40%
## 146 $1,425,074,226 106.20%
## 147 $4,720,727,278 23.40%
## 148 $351,431,649,241 100.90%
## 149 $2,029,000,000,000 98.10%
## 150 $1,394,116,310,769 102.70%
## 151 $84,008,783,756 100.20%
## 152 $18,902,284,476 76.80%
## 153 $3,985,250,737 108.80%
## 154 $530,832,908,738 126.60%
## 155 $703,082,435,360 105.20%
## 156 $40,405,006,007 81.70%
## 157 $8,116,626,794 100.90%
## 158 $63,177,068,175 94.20%
## 159 $543,649,976,166 99.80%
## 160 $1,673,540,300 115.30%
## 161 $5,459,979,417 123.80%
## 162 $450,353,314 116.30%
## 163 $24,100,202,834 106.20%
## 164 $38,797,709,924 115.40%
## 165 $754,411,708,203 93.20%
## 166 $40,761,142,857 88.40%
## 167 $34,387,229,486 102.70%
## 168 $153,781,069,118 99.00%
## 169 $421,142,267,938 108.40%
## 170 $2,827,113,184,696 101.20%
## 171 $21,427,700,000,000 101.80%
## 172 $56,045,912,952 108.50%
## 173 $57,921,286,440 104.20%
## 174 $917,058,851 109.30%
## 175 $482,359,318,768 97.20%
## 176 $261,921,244,843 110.60%
## 177 $26,914,402,224 93.60%
## 178 $23,064,722,446 98.70%
## 179 $21,440,758,800 109.90%
## Gross.tertiary.education.enrollment.... Infant.mortality
## 1 9.70% 47.9
## 2 55.00% 7.8
## 3 51.40% 20.1
## 4 9.30% 51.6
## 5 24.80% 5.0
## 6 90.00% 8.8
## 7 54.60% 11.0
## 8 113.10% 3.1
## 9 85.10% 2.9
## 10 27.70% 19.2
## 11 15.10% 8.3
## 12 50.50% 6.1
## 13 20.60% 25.1
## 14 65.40% 11.3
## 15 87.40% 2.6
## 16 79.70% 2.9
## 17 24.70% 11.2
## 18 12.30% 60.5
## 19 15.60% 24.8
## 20 21.8
## 21 23.30% 5.0
## 22 24.90% 30.0
## 23 51.30% 12.8
## 24 31.40% 9.8
## 25 71.00% 5.9
## 26 6.50% 49.0
## 27 6.10% 41.0
## 28 9.30% 59.4
## 29 23.60% 16.7
## 30 13.70% 24.0
## 31 12.80% 50.6
## 32 68.90% 4.3
## 33 3.00% 84.5
## 34 3.30% 71.4
## 35 88.50% 6.2
## 36 50.60% 7.4
## 37 55.30% 12.2
## 38 9.00% 51.3
## 39 12.70% 36.2
## 40 55.20% 7.6
## 41 67.90% 4.0
## 42 41.40% 3.7
## 43 75.90% 1.9
## 44 64.10% 2.7
## 45 6.60% 68.2
## 46 80.60% 3.6
## 47 5.30% 49.8
## 48 59.90% 24.1
## 49 44.90% 12.2
## 50 35.20% 18.1
## 51 29.40% 11.8
## 52 1.90% 62.6
## 53 3.40% 31.3
## 54 69.60% 2.1
## 55 8.10% 39.1
## 56 16.10% 21.6
## 57 88.20% 1.4
## 58 65.60% 3.4
## 59 8.30% 32.7
## 60 2.70% 39.0
## 61 63.90% 8.7
## 62 70.20% 3.1
## 63 15.70% 34.9
## 64 136.60% 3.6
## 65 104.60% 13.7
## 66 21.80% 22.1
## 67 11.60% 64.9
## 68 2.60% 54.0
## 69 11.60% 25.1
## 70 1.10% 49.5
## 71 26.20% 15.1
## 72 48.50% 3.6
## 73 71.80% 1.5
## 74 28.10% 29.9
## 75 36.30% 21.1
## 76 68.10% 12.4
## 77 16.20% 22.5
## 78 77.80% 3.1
## 79 63.40% 3.0
## 80 61.90% 2.6
## 81 27.10% 12.4
## 82 63.20% 1.8
## 83 34.40% 13.9
## 84 61.70% 8.8
## 85 11.50% 30.6
## 86 41.2
## 87 54.40% 6.7
## 88 41.30% 16.9
## 89 15.00% 37.6
## 90 88.10% 3.3
## 91 26.30% 6.4
## 92 10.20% 65.7
## 93 11.90% 53.5
## 94 60.50% 10.2
## 95 72.40% 3.3
## 96 19.20% 1.9
## 97 5.40% 38.2
## 98 0.80% 35.3
## 99 45.10% 6.7
## 100 31.20% 7.4
## 101 4.50% 62.0
## 102 54.30% 6.1
## 103 5.00% 51.5
## 104 40.60% 13.6
## 105 40.20% 11.0
## 106 14.10% 25.6
## 107 39.80% 13.6
## 108 65.60% 14.0
## 109 56.10% 2.3
## 110 35.90% 19.2
## 111 7.30% 54.0
## 112 18.80% 36.8
## 113 22.90% 29.0
## 114 12.40% 26.7
## 115 85.00% 3.3
## 116 82.00% 4.7
## 117 17.40% 15.7
## 118 4.40% 48.0
## 119 10.20% 75.7
## 120 27.00% 13.7
## 121 82.00% 2.1
## 122 38.00% 9.8
## 123 9.00% 57.2
## 124 47.80% 13.1
## 125 1.80% 38.0
## 126 34.60% 17.2
## 127 70.70% 11.1
## 128 35.50% 22.5
## 129 67.80% 3.8
## 130 63.90% 3.1
## 131 17.90% 5.8
## 132 49.40% 6.1
## 133 81.90% 6.1
## 134 6.70% 27.0
## 135 14.10% 14.9
## 136 23.70% 14.8
## 137 7.60% 13.6
## 138 68.00% 6.0
## 139 12.80% 31.8
## 140 67.20% 4.8
## 141 17.10% 12.4
## 142 2.00% 78.5
## 143 84.80% 2.3
## 144 46.60% 4.6
## 145 78.60% 1.7
## 146 17.1
## 147 2.50% 76.6
## 148 22.40% 28.5
## 149 94.30% 2.7
## 150 88.90% 2.5
## 151 19.60% 6.4
## 152 16.90% 42.1
## 153 12.60% 16.9
## 154 67.00% 2.2
## 155 59.60% 3.7
## 156 40.10% 14.0
## 157 31.30% 30.4
## 158 4.00% 37.6
## 159 49.30% 7.8
## 160 17.80% 39.3
## 161 14.50% 47.4
## 162 6.40% 13.4
## 163 12.00% 16.4
## 164 31.70% 14.6
## 165 23.90% 9.1
## 166 8.00% 39.3
## 167 4.80% 33.8
## 168 82.70% 7.5
## 169 36.80% 6.5
## 170 60.00% 3.6
## 171 88.20% 5.6
## 172 63.10% 6.4
## 173 10.10% 19.1
## 174 4.70% 22.3
## 175 79.30% 21.4
## 176 28.50% 16.5
## 177 10.20% 42.9
## 178 4.10% 40.4
## 179 10.00% 33.9
## Largest.city Life.expectancy Maternal.mortality.ratio
## 1 Kabul 64.5 638
## 2 Tirana 78.5 15
## 3 Algiers 76.7 112
## 4 Luanda 60.8 241
## 5 St. John's, Saint John 76.9 42
## 6 Buenos Aires 76.5 39
## 7 Yerevan 74.9 26
## 8 Sydney 82.7 6
## 9 Vienna 81.6 5
## 10 Baku 72.9 26
## 11 Nassau, Bahamas 73.8 70
## 12 Riffa 77.2 14
## 13 Dhaka 72.3 173
## 14 Bridgetown 79.1 27
## 15 Minsk 74.2 2
## 16 Brussels 81.6 5
## 17 Belize City 74.5 36
## 18 Cotonou 61.5 397
## 19 Thimphu 71.5 183
## 20 Santa Cruz de la Sierra 71.2 155
## 21 Tuzla Canton 77.3 10
## 22 Gaborone 69.3 144
## 23 S���� 75.7 60
## 24 75.7 31
## 25 Sofia 74.9 10
## 26 Ouagadougou 61.2 320
## 27 Bujumbura 61.2 548
## 28 Abidjan 57.4 617
## 29 Praia 72.8 58
## 30 Phnom Penh 69.6 160
## 31 Douala 58.9 529
## 32 Toronto 81.9 10
## 33 Bangui 52.8 829
## 34 N'Djamena 54.0 1140
## 35 Santiago 80.0 13
## 36 Shanghai 77.0 29
## 37 Bogot� 77.1 83
## 38 Moroni, Comoros 64.1 273
## 39 Brazzaville 64.3 378
## 40 San Jos������ 80.1 27
## 41 Zagreb 78.1 8
## 42 Havana 78.7 36
## 43 Statos������� 80.8 6
## 44 Prague 79.0 3
## 45 Kinshasa 60.4 473
## 46 Copenhagen 81.0 4
## 47 Djibouti City 66.6 248
## 48 Santo Domingo 73.9 95
## 49 Quito 76.8 59
## 50 Cairo 71.8 37
## 51 San Salvador 73.1 46
## 52 Malabo 58.4 301
## 53 Asmara 65.9 480
## 54 Tallinn 78.2 9
## 55 Addis Ababa 66.2 401
## 56 Suva 67.3 34
## 57 Helsinki 81.7 3
## 58 Paris 82.5 8
## 59 Libreville 66.2 252
## 60 Serekunda 61.7 597
## 61 Tbilisi 73.6 25
## 62 Berlin 80.9 7
## 63 Accra 63.8 308
## 64 Macedonia 81.3 3
## 65 St. George's, Grenada 72.4 25
## 66 Guatemala City 74.1 95
## 67 Kankan 61.2 576
## 68 Bissau 58.0 667
## 69 Georgetown, Guyana 69.8 169
## 70 Port-au-Prince 63.7 480
## 71 Tegucigalpa 75.1 65
## 72 Budapest 75.8 12
## 73 Reykjav�� 82.7 4
## 74 Kurebhar 69.4 145
## 75 Kalimantan 71.5 177
## 76 Tehran 76.5 16
## 77 Baghdad 70.5 79
## 78 Connacht 82.3 5
## 79 Jerusalem 82.8 3
## 80 Rome 82.9 2
## 81 Kingston, Jamaica 74.4 80
## 82 Tokyo 84.2 5
## 83 Amman 74.4 46
## 84 Almaty 73.2 10
## 85 Nairobi 66.3 342
## 86 South Tarawa 68.1 92
## 87 Kuwait City 75.4 12
## 88 Bishkek 71.4 60
## 89 Vientiane 67.6 185
## 90 Riga 74.7 19
## 91 Tripoli, Lebanon 78.9 29
## 92 Maseru 53.7 544
## 93 Monrovia 63.7 661
## 94 72.7 72
## 95 Vilnius 75.7 8
## 96 Luxembourg City 82.1 5
## 97 Antananarivo 66.7 335
## 98 Lilongwe 63.8 349
## 99 Johor Bahru 76.0 29
## 100 Mal� 78.6 53
## 101 Bamako 58.9 562
## 102 Birkirkara 82.3 6
## 103 Nouakchott 64.7 766
## 104 Port Louis 74.4 61
## 105 Mexico City 75.0 33
## 106 Palikir 67.8 88
## 107 Chi���� 71.8 19
## 108 Ulaanbaatar 69.7 45
## 109 Podgorica 76.8 6
## 110 Casablanca 76.5 70
## 111 Maputo 60.2 289
## 112 Yangon 66.9 250
## 113 Windhoek 63.4 195
## 114 Kathmandu 70.5 186
## 115 Amsterdam 81.8 5
## 116 Auckland 81.9 9
## 117 Managua 74.3 98
## 118 Niamey 62.0 509
## 119 Lagos 54.3 917
## 120 Pyongyang 72.1 89
## 121 Oslo 82.8 2
## 122 Seeb 77.6 19
## 123 Karachi 67.1 140
## 124 Panama City 78.3 52
## 125 Port Moresby 64.3 145
## 126 Ciudad del Este 74.1 129
## 127 Lima 76.5 88
## 128 Manila 71.1 121
## 129 Warsaw 77.6 2
## 130 Lisbon 81.3 8
## 131 Doha 80.1 9
## 132 Bucharest 75.4 19
## 133 Moscow 72.7 17
## 134 Kigali 68.7 248
## 135 Castries 76.1 117
## 136 Calliaqua 72.4 68
## 137 Apia 73.2 43
## 138 Riyadh 75.0 17
## 139 Pikine 67.7 315
## 140 Belgrade 75.5 12
## 141 Victoria, Seychelles 72.8 53
## 142 Freetown 54.3 1120
## 143 83.1 8
## 144 Bratislava 77.2 5
## 145 Ljubljana 81.0 7
## 146 Honiara 72.8 104
## 147 Bosaso 57.1 829
## 148 Johannesburg 63.9 119
## 149 Seoul 82.6 11
## 150 Madrid 83.3 4
## 151 Colombo 76.8 36
## 152 Omdurman 65.1 295
## 153 Paramaribo 71.6 120
## 154 S����� 82.5 4
## 155 Z��� 83.6 5
## 156 Damascus 71.8 31
## 157 Dushanbe 70.9 17
## 158 Dar es Salaam 65.0 524
## 159 Bangkok 76.9 37
## 160 Dili 69.3 142
## 161 Lom� 60.8 396
## 162 Nuku���� 70.8 52
## 163 Chaguanas 73.4 67
## 164 Tunis 76.5 43
## 165 Istanbul 77.4 17
## 166 Ashgabat 68.1 7
## 167 Buganda 63.0 375
## 168 Kyiv 71.6 19
## 169 Dubai 77.8 3
## 170 London 81.3 7
## 171 New York City 78.5 19
## 172 Montevideo 77.8 17
## 173 Tashkent 71.6 29
## 174 Port Vila 70.3 72
## 175 Caracas 72.1 125
## 176 Ho Chi Minh City 75.3 43
## 177 Sanaa 66.1 164
## 178 Lusaka 63.5 213
## 179 Harare 61.2 458
## Minimum.wage Official.language Out.of.pocket.health.expenditure
## 1 $0.43 Pashto 78.40%
## 2 $1.12 Albanian 56.90%
## 3 $0.95 Arabic 28.10%
## 4 $0.71 Portuguese 33.40%
## 5 $3.04 English 24.30%
## 6 $3.35 Spanish 17.60%
## 7 $0.66 Armenian 81.60%
## 8 $13.59 None 19.60%
## 9 German 17.90%
## 10 $0.47 Azerbaijani language 78.60%
## 11 $5.25 English 27.80%
## 12 Arabic 25.10%
## 13 $0.51 Bengali 71.80%
## 14 $3.13 English 45.20%
## 15 $1.49 Russian 34.50%
## 16 $10.31 French 17.60%
## 17 $1.65 English 22.70%
## 18 $0.39 French 40.50%
## 19 $0.32 Dzongkha 19.80%
## 20 $1.36 Spanish 25.90%
## 21 $1.04 Bosnian 28.60%
## 22 $0.29 English 5.30%
## 23 $1.53 Portuguese 28.30%
## 24 Malay 6.00%
## 25 $1.57 Bulgarian 47.70%
## 26 $0.34 French 36.10%
## 27 Kirundi 19.10%
## 28 $0.36 French 36.00%
## 29 $0.68 Portuguese 23.20%
## 30 Khmer language 59.40%
## 31 $0.35 French 69.70%
## 32 $9.51 French 14.60%
## 33 $0.37 French 39.60%
## 34 $0.60 French 56.40%
## 35 $2.00 Spanish 32.20%
## 36 $0.87 Standard Chinese 32.40%
## 37 $1.23 Spanish 18.30%
## 38 $0.71 French 74.80%
## 39 $0.88 French 43.80%
## 40 $1.84 Spanish 21.50%
## 41 $2.92 Croatian 15.20%
## 42 $0.05 Spanish
## 43 Greek 43.90%
## 44 $3.00 Czech 14.80%
## 45 $0.18 French 37.40%
## 46 Danish 13.70%
## 47 French 20.40%
## 48 $0.40 Spanish 43.70%
## 49 $2.46 Spanish 43.70%
## 50 Modern Standard Arabic 62.00%
## 51 $0.50 Spanish 27.90%
## 52 $1.05 Spanish 72.00%
## 53 Tigrinya 52.40%
## 54 $3.14 Estonian 22.80%
## 55 Amharic 37.80%
## 56 $1.28 Fiji Hindi 21.40%
## 57 Swedish 19.90%
## 58 $11.16 French 6.80%
## 59 $1.46 French 25.90%
## 60 $0.13 English 20.30%
## 61 $0.05 Georgian 57.30%
## 62 $9.99 German 12.50%
## 63 $0.27 English 36.10%
## 64 $4.46 Greek 35.50%
## 65 English 57.00%
## 66 $1.60 Spanish 55.80%
## 67 French 54.50%
## 68 $0.16 Portuguese 37.20%
## 69 $0.98 English 40.50%
## 70 $0.25 French 36.30%
## 71 $1.01 Spanish 49.10%
## 72 $2.62 Hungarian 29.00%
## 73 Icelandic 17.00%
## 74 $0.30 Hindi 65.10%
## 75 $0.48 Indonesian 48.30%
## 76 $1.58 Persian 39.70%
## 77 $1.24 Arabic 76.50%
## 78 $10.79 Irish 15.20%
## 79 $7.58 Hebrew 24.40%
## 80 Italian 22.80%
## 81 $1.33 Jamaican English 23.70%
## 82 $6.77 None 13.10%
## 83 $1.49 Arabic 25.10%
## 84 $0.41 Russian 38.80%
## 85 $0.25 Swahili 33.40%
## 86 English 0.20%
## 87 $0.95 Modern Standard Arabic 14.40%
## 88 $0.09 Russian 48.20%
## 89 $0.83 Lao 45.40%
## 90 $2.80 Latvian 41.60%
## 91 $2.15 Arabic 32.10%
## 92 $0.41 English 16.90%
## 93 $0.17 English 19.60%
## 94 $1.88 Arabic 36.70%
## 95 $2.41 Lithuanian 32.10%
## 96 $13.05 Luxembourgish 10.60%
## 97 $0.21 French 21.70%
## 98 $0.12 English 11.00%
## 99 $0.93 Malaysian language 36.70%
## 100 Divehi 16.40%
## 101 $0.23 French 46.30%
## 102 $5.07 Maltese 37.10%
## 103 $0.53 Arabic 48.20%
## 104 $0.38 French 50.70%
## 105 $0.49 None 41.40%
## 106 English 2.50%
## 107 $0.31 Romanian 46.20%
## 108 $0.65 Mongolian 39.30%
## 109 $1.23 Montenegrin language 31.80%
## 110 $1.60 Arabic 53.10%
## 111 $0.27 Portuguese 6.80%
## 112 $0.39 Burmese 73.90%
## 113 English 8.30%
## 114 $0.36 Nepali 60.40%
## 115 $10.29 Dutch 12.30%
## 116 $11.49 English 12.60%
## 117 $0.54 Spanish 36.00%
## 118 $0.29 French 52.30%
## 119 $0.54 English 72.20%
## 120 Korean
## 121 Norwegian 14.30%
## 122 $4.33 Arabic 6.40%
## 123 $0.69 Urdu 66.50%
## 124 $1.53 Spanish 30.50%
## 125 $1.16 Tok Pisin 5.80%
## 126 $1.55 Spanish 36.50%
## 127 $1.28 Spanish 30.90%
## 128 $1.12 English 53.50%
## 129 $2.93 Polish 23.20%
## 130 $3.78 Portuguese 27.70%
## 131 Arabic 6.20%
## 132 $2.25 Romanian 21.30%
## 133 $0.53 Russian 36.40%
## 134 Swahili 26.00%
## 135 English 48.40%
## 136 $1.16 English 21.40%
## 137 $0.78 Samoan 11.50%
## 138 $3.85 Arabic 15.00%
## 139 $0.31 French 44.20%
## 140 $1.57 Serbian 40.60%
## 141 $2.00 French 2.50%
## 142 $0.57 English 38.20%
## 143 Malay 36.70%
## 144 $3.11 Slovak 18.40%
## 145 $5.25 Slovene language 12.50%
## 146 $0.40 English 3.30%
## 147 Arabic
## 148 Afrikaans 7.70%
## 149 $6.49 Korean 36.80%
## 150 $5.60 Spanish 24.20%
## 151 $0.35 Tamil 38.40%
## 152 $0.41 Arabic 63.20%
## 153 Dutch 10.10%
## 154 Swedish 15.20%
## 155 German 28.30%
## 156 $1.02 Arabic 53.70%
## 157 $0.23 Persian 63.10%
## 158 $0.09 Swahili 26.10%
## 159 $1.06 Thai 11.80%
## 160 $0.60 Portuguese 10.20%
## 161 $0.34 French 51.00%
## 162 Tongan Language 10.20%
## 163 $2.25 English 37.30%
## 164 $0.47 Arabic 39.80%
## 165 $3.45 Turkish 16.90%
## 166 $0.88 Turkmen 71.10%
## 167 $0.01 Swahili 40.50%
## 168 $0.84 Ukrainian 47.80%
## 169 Arabic 17.80%
## 170 $10.13 English 14.80%
## 171 $7.25 None 11.10%
## 172 $1.66 Spanish 16.20%
## 173 $0.24 Uzbek 42.70%
## 174 $1.56 French 8.90%
## 175 $0.01 Spanish 45.80%
## 176 $0.73 Vietnamese 43.50%
## 177 Arabic 81.00%
## 178 $0.24 English 27.50%
## 179 Shona 25.80%
## Physicians.per.thousand Population
## 1 0.28 38,041,754
## 2 1.20 2,854,191
## 3 1.72 43,053,054
## 4 0.21 31,825,295
## 5 2.76 97,118
## 6 3.96 44,938,712
## 7 4.40 2,957,731
## 8 3.68 25,766,605
## 9 5.17 8,877,067
## 10 3.45 10,023,318
## 11 1.94 389,482
## 12 0.93 1,501,635
## 13 0.58 167,310,838
## 14 2.48 287,025
## 15 5.19 9,466,856
## 16 3.07 11,484,055
## 17 1.12 390,353
## 18 0.08 11,801,151
## 19 0.42 727,145
## 20 1.59 11,513,100
## 21 2.16 3,301,000
## 22 0.37 2,346,179
## 23 2.15 212,559,417
## 24 1.61 433,285
## 25 4.03 6,975,761
## 26 0.08 20,321,378
## 27 0.10 11,530,580
## 28 0.23 25,716,544
## 29 0.77 483,628
## 30 0.17 16,486,542
## 31 0.09 25,876,380
## 32 2.61 36,991,981
## 33 0.06 4,745,185
## 34 0.04 15,946,876
## 35 2.59 18,952,038
## 36 1.98 1,397,715,000
## 37 2.18 50,339,443
## 38 0.27 850,886
## 39 0.12 5,380,508
## 40 2.89 5,047,561
## 41 3.00 4,067,500
## 42 8.42 11,333,483
## 43 1.95 1,198,575
## 44 4.12 10,669,709
## 45 0.07 86,790,567
## 46 4.01 5,818,553
## 47 0.22 973,560
## 48 1.56 10,738,958
## 49 2.04 17,373,662
## 50 0.45 100,388,073
## 51 1.57 6,453,553
## 52 0.40 1,355,986
## 53 0.06 6,333,135
## 54 4.48 1,331,824
## 55 0.08 112,078,730
## 56 0.84 889,953
## 57 3.81 5,520,314
## 58 3.27 67,059,887
## 59 0.68 2,172,579
## 60 0.10 2,347,706
## 61 7.12 3,720,382
## 62 4.25 83,132,799
## 63 0.14 30,792,608
## 64 5.48 10,716,322
## 65 1.41 112,003
## 66 0.35 16,604,026
## 67 0.08 12,771,246
## 68 0.13 1,920,922
## 69 0.80 782,766
## 70 0.23 11,263,077
## 71 0.31 9,746,117
## 72 3.41 9,769,949
## 73 4.08 361,313
## 74 0.86 1,366,417,754
## 75 0.43 270,203,917
## 76 1.58 82,913,906
## 77 0.71 39,309,783
## 78 3.31 5,007,069
## 79 4.62 9,053,300
## 80 3.98 60,297,396
## 81 1.31 2,948,279
## 82 2.41 126,226,568
## 83 2.32 10,101,694
## 84 3.25 18,513,930
## 85 0.16 52,573,973
## 86 0.20 117,606
## 87 2.58 4,207,083
## 88 1.88 6,456,900
## 89 0.37 7,169,455
## 90 3.19 1,912,789
## 91 2.10 6,855,713
## 92 0.07 2,125,268
## 93 0.04 4,937,374
## 94 2.09 6,777,452
## 95 6.35 2,786,844
## 96 3.01 645,397
## 97 0.18 26,969,307
## 98 0.04 18,628,747
## 99 1.51 32,447,385
## 100 4.56 530,953
## 101 0.13 19,658,031
## 102 2.86 502,653
## 103 0.19 4,525,696
## 104 2.53 1,265,711
## 105 2.38 126,014,024
## 106 0.18 113,815
## 107 3.21 2,657,637
## 108 2.86 3,225,167
## 109 2.76 622,137
## 110 0.73 36,910,560
## 111 0.08 30,366,036
## 112 0.68 54,045,420
## 113 0.42 2,494,530
## 114 0.75 28,608,710
## 115 3.61 17,332,850
## 116 3.59 4,841,000
## 117 0.98 6,545,502
## 118 0.04 23,310,715
## 119 0.38 200,963,599
## 120 3.67 25,666,161
## 121 2.92 5,347,896
## 122 2.00 5,266,535
## 123 0.98 216,565,318
## 124 1.57 4,246,439
## 125 0.07 8,776,109
## 126 1.35 7,044,636
## 127 1.27 32,510,453
## 128 0.60 108,116,615
## 129 2.38 37,970,874
## 130 5.12 10,269,417
## 131 2.49 2,832,067
## 132 2.98 19,356,544
## 133 4.01 144,373,535
## 134 0.13 12,626,950
## 135 0.64 182,790
## 136 0.66 100,455
## 137 0.34 202,506
## 138 2.61 34,268,528
## 139 0.07 16,296,364
## 140 3.11 6,944,975
## 141 0.95 97,625
## 142 0.03 7,813,215
## 143 2.29 5,703,569
## 144 3.42 5,454,073
## 145 3.09 2,087,946
## 146 0.19 669,823
## 147 0.02 15,442,905
## 148 0.91 58,558,270
## 149 2.36 51,709,098
## 150 3.87 47,076,781
## 151 1.00 21,803,000
## 152 0.26 42,813,238
## 153 1.21 581,372
## 154 3.98 10,285,453
## 155 4.30 8,574,832
## 156 1.22 17,070,135
## 157 1.70 9,321,018
## 158 0.01 58,005,463
## 159 0.81 69,625,582
## 160 0.72 3,500,000
## 161 0.08 8,082,366
## 162 0.52 100,209
## 163 4.17 1,394,973
## 164 1.30 11,694,719
## 165 1.85 83,429,615
## 166 2.22 5,942,089
## 167 0.17 44,269,594
## 168 2.99 44,385,155
## 169 2.53 9,770,529
## 170 2.81 66,834,405
## 171 2.61 328,239,523
## 172 5.05 3,461,734
## 173 2.37 33,580,650
## 174 0.17 299,882
## 175 1.92 28,515,829
## 176 0.82 96,462,106
## 177 0.31 29,161,922
## 178 1.19 17,861,030
## 179 0.21 14,645,468
## Population..Labor.force.participation.... Tax.revenue.... Total.tax.rate
## 1 48.90% 9.30% 71.40%
## 2 55.70% 18.60% 36.60%
## 3 41.20% 37.20% 66.10%
## 4 77.50% 9.20% 49.10%
## 5 16.50% 43.00%
## 6 61.30% 10.10% 106.30%
## 7 55.60% 20.90% 22.60%
## 8 65.50% 23.00% 47.40%
## 9 60.70% 25.40% 51.40%
## 10 66.50% 13.00% 40.70%
## 11 74.60% 14.80% 33.80%
## 12 73.40% 4.20% 13.80%
## 13 59.00% 8.80% 33.40%
## 14 65.20% 27.50% 35.60%
## 15 64.10% 14.70% 53.30%
## 16 53.60% 24.00% 55.40%
## 17 65.10% 26.30% 31.10%
## 18 70.90% 10.80% 48.90%
## 19 66.70% 16.00% 35.30%
## 20 71.80% 17.00% 83.70%
## 21 46.40% 20.40% 23.70%
## 22 70.80% 19.50% 25.10%
## 23 63.90% 14.20% 65.10%
## 24 64.70% 8.00%
## 25 55.40% 20.20% 28.30%
## 26 66.40% 15.00% 41.30%
## 27 79.20% 13.60% 41.20%
## 28 57.00% 11.80% 50.10%
## 29 60.50% 20.10% 37.50%
## 30 82.30% 17.10% 23.10%
## 31 76.10% 12.80% 57.70%
## 32 65.10% 12.80% 24.50%
## 33 72.00% 8.60% 73.30%
## 34 70.70% 63.50%
## 35 62.60% 18.20% 34.00%
## 36 68.00% 9.40% 59.20%
## 37 68.80% 14.40% 71.20%
## 38 43.30% 219.60%
## 39 69.40% 9.00% 54.30%
## 40 62.10% 13.60% 58.30%
## 41 51.20% 22.00% 20.50%
## 42 53.60%
## 43 63.10% 24.50% 22.40%
## 44 60.60% 14.90% 46.10%
## 45 63.50% 10.70% 50.70%
## 46 62.20% 32.40% 23.80%
## 47 60.20% 37.90%
## 48 64.30% 13.00% 48.80%
## 49 68.00% 34.40%
## 50 46.40% 12.50% 44.40%
## 51 59.10% 18.10% 36.40%
## 52 62.00% 6.10% 79.40%
## 53 78.40% 83.70%
## 54 63.60% 20.90% 47.80%
## 55 79.60% 7.50% 37.70%
## 56 57.60% 24.20% 32.10%
## 57 59.10% 20.80% 36.60%
## 58 55.10% 24.20% 60.70%
## 59 52.90% 10.20% 47.10%
## 60 59.40% 9.40% 48.40%
## 61 68.30% 21.70% 9.90%
## 62 60.80% 11.50% 48.80%
## 63 67.80% 12.60% 55.40%
## 64 51.80% 26.20% 51.90%
## 65 19.40% 47.80%
## 66 62.30% 10.60% 35.20%
## 67 61.50% 10.80% 69.30%
## 68 72.00% 10.30% 45.50%
## 69 56.20% 30.60%
## 70 67.20% 42.70%
## 71 68.80% 17.30% 39.10%
## 72 56.50% 23.00% 37.90%
## 73 75.00% 23.30% 31.90%
## 74 49.30% 11.20% 49.70%
## 75 67.50% 10.20% 30.10%
## 76 44.70% 7.40% 44.70%
## 77 43.00% 2.00% 30.80%
## 78 62.10% 18.30% 26.10%
## 79 64.00% 23.10% 25.30%
## 80 49.60% 24.30% 59.10%
## 81 66.00% 26.80% 35.10%
## 82 61.70% 11.90% 46.70%
## 83 39.30% 15.10% 28.60%
## 84 68.80% 11.70% 28.40%
## 85 74.70% 15.10% 37.20%
## 86 22.00% 32.70%
## 87 73.50% 1.40% 13.00%
## 88 59.80% 18.00% 29.00%
## 89 78.50% 12.90% 24.10%
## 90 61.40% 22.90% 38.10%
## 91 47.00% 15.30% 32.20%
## 92 67.90% 31.60% 13.60%
## 93 76.30% 12.90% 46.20%
## 94 49.70% 32.60%
## 95 61.60% 16.90% 42.60%
## 96 59.30% 26.50% 20.40%
## 97 86.10% 10.20% 38.30%
## 98 76.70% 17.30% 34.50%
## 99 64.30% 12.00% 38.70%
## 100 69.80% 19.50% 30.20%
## 101 70.80% 11.60% 54.50%
## 102 56.50% 26.20% 44.00%
## 103 45.90% 67.00%
## 104 58.30% 19.10% 22.20%
## 105 60.70% 13.10% 55.10%
## 106 25.20% 60.50%
## 107 43.10% 17.70% 38.70%
## 108 59.70% 16.80% 25.70%
## 109 54.40% 22.20%
## 110 45.30% 21.90% 45.80%
## 111 78.10% 0.00% 36.10%
## 112 61.70% 5.40% 31.20%
## 113 59.50% 27.10% 20.70%
## 114 83.80% 20.70% 41.80%
## 115 63.60% 23.00% 41.20%
## 116 69.90% 29.00% 34.60%
## 117 66.40% 15.60% 60.60%
## 118 72.00% 11.80% 47.20%
## 119 52.90% 1.50% 34.80%
## 120 80.40%
## 121 63.80% 23.90% 36.20%
## 122 72.40% 2.50% 27.40%
## 123 52.60% 9.20% 33.90%
## 124 66.60% 37.20%
## 125 47.20% 13.60% 37.10%
## 126 72.10% 10.00% 35.00%
## 127 77.60% 14.30% 36.80%
## 128 59.60% 14.00% 43.10%
## 129 56.70% 17.40% 40.80%
## 130 58.80% 22.80% 39.80%
## 131 86.80% 14.70% 11.30%
## 132 54.70% 14.60% 20.00%
## 133 61.80% 11.40% 46.20%
## 134 83.70% 14.30% 33.20%
## 135 67.10% 18.20% 34.70%
## 136 65.90% 25.40% 37.00%
## 137 43.70% 25.50% 19.30%
## 138 55.90% 8.90% 15.70%
## 139 45.70% 16.30% 44.80%
## 140 54.90% 18.60% 36.60%
## 141 34.10% 30.10%
## 142 57.90% 8.60% 30.70%
## 143 70.50% 13.10% 21.00%
## 144 59.50% 18.70% 49.70%
## 145 58.40% 18.60% 31.00%
## 146 83.80% 29.50% 32.00%
## 147 47.40% 0.00%
## 148 56.00% 27.50% 29.20%
## 149 63.00% 15.60% 33.20%
## 150 57.50% 14.20% 47.00%
## 151 53.90% 11.90% 55.20%
## 152 48.40% 8.00% 45.40%
## 153 51.10% 19.50% 27.90%
## 154 64.60% 27.90% 49.10%
## 155 68.30% 10.10% 28.80%
## 156 44.10% 14.20% 42.70%
## 157 42.00% 9.80% 67.30%
## 158 83.40% 11.50% 43.80%
## 159 67.30% 14.90% 29.50%
## 160 67.30% 25.00% 17.30%
## 161 77.60% 16.90% 48.20%
## 162 59.80% 22.30% 27.50%
## 163 60.00% 19.50% 40.50%
## 164 46.10% 21.10% 60.70%
## 165 52.80% 17.90% 42.30%
## 166 64.50%
## 167 70.30% 11.70% 33.70%
## 168 54.20% 20.10% 45.20%
## 169 82.10% 0.10% 15.90%
## 170 62.80% 25.50% 30.60%
## 171 62.00% 9.60% 36.60%
## 172 64.00% 20.10% 41.80%
## 173 65.10% 14.80% 31.60%
## 174 69.90% 17.80% 8.50%
## 175 59.70% 73.30%
## 176 77.40% 19.10% 37.60%
## 177 38.00% 26.60%
## 178 74.60% 16.20% 15.60%
## 179 83.10% 20.70% 31.60%
## Unemployment.rate Urban_population Latitude Longitude
## 1 11.12% 9,797,273 33.939110 67.709953
## 2 12.33% 1,747,593 41.153332 20.168331
## 3 11.70% 31,510,100 28.033886 1.659626
## 4 6.89% 21,061,025 -11.202692 17.873887
## 5 23,800 17.060816 -61.796428
## 6 9.79% 41,339,571 -38.416097 -63.616672
## 7 16.99% 1,869,848 40.069099 45.038189
## 8 5.27% 21,844,756 -25.274398 133.775136
## 9 4.67% 5,194,416 47.516231 14.550072
## 10 5.51% 5,616,165 40.143105 47.576927
## 11 10.36% 323,784 25.034280 -77.396280
## 12 0.71% 1,467,109 26.066700 50.557700
## 13 4.19% 60,987,417 23.684994 90.356331
## 14 10.33% 89,431 13.193887 -59.543198
## 15 4.59% 7,482,982 53.709807 27.953389
## 16 5.59% 11,259,082 50.503887 4.469936
## 17 6.41% 179,039 17.189877 -88.497650
## 18 2.23% 5,648,149 9.307690 2.315834
## 19 2.34% 317,538 27.514162 90.433601
## 20 3.50% 8,033,035 -16.290154 -63.588653
## 21 18.42% 1,605,144 43.915886 17.679076
## 22 18.19% 1,616,550 -22.328474 24.684866
## 23 12.08% 183,241,641 -14.235004 -51.925280
## 24 9.12% 337,711 4.535277 114.727669
## 25 4.34% 5,256,027 42.733883 25.485830
## 26 6.26% 6,092,349 12.238333 -1.561593
## 27 1.43% 1,541,177 -3.373056 29.918886
## 28 3.32% 13,176,900 7.539989 -5.547080
## 29 12.25% 364,029 16.538800 -23.041800
## 30 0.68% 3,924,621 12.565679 104.990963
## 31 3.38% 14,741,256 7.369722 12.354722
## 32 5.56% 30,628,482 56.130366 -106.346771
## 33 3.68% 1,982,064 6.611111 20.939444
## 34 1.89% 3,712,273 15.454166 18.732207
## 35 7.09% 16,610,135 -35.675147 -71.542969
## 36 4.32% 842,933,962 35.861660 104.195397
## 37 9.71% 40,827,302 4.570868 -74.297333
## 38 4.34% 248,152 -11.645500 43.333300
## 39 9.47% 3,625,010 -0.228021 15.827659
## 40 11.85% 4,041,885 9.748917 -83.753428
## 41 6.93% 2,328,318 45.100000 15.200000
## 42 1.64% 8,739,135 21.521757 -77.781167
## 43 7.27% 800,708 35.126413 33.429859
## 44 1.93% 7,887,156 49.817492 15.472962
## 45 4.24% 39,095,679 -4.038333 21.758664
## 46 4.91% 5,119,978 56.263920 9.501785
## 47 10.30% 758,549 11.825138 42.590275
## 48 5.84% 8,787,475 18.735693 -70.162651
## 49 3.97% 11,116,711 -1.831239 -78.183406
## 50 10.76% 42,895,824 26.820553 30.802498
## 51 4.11% 4,694,702 13.794185 -88.896530
## 52 6.43% 984,812 1.650801 10.267895
## 53 5.14% 1,149,670 15.179384 39.782334
## 54 5.11% 916,024 58.595272 25.013607
## 55 2.08% 23,788,710 9.145000 40.489673
## 56 4.10% 505,048 -17.713371 178.065032
## 57 6.59% 4,716,888 61.924110 25.748151
## 58 8.43% 54,123,364 46.227638 2.213749
## 59 20.00% 1,949,694 -0.803689 11.609444
## 60 9.06% 1,453,958 13.443182 -15.310139
## 61 14.40% 2,196,476 42.315407 43.356892
## 62 3.04% 64,324,835 51.165691 10.451526
## 63 4.33% 17,249,054 7.946527 -1.023194
## 64 17.24% 8,507,474 39.074208 21.824312
## 65 40,765 12.116500 -61.679000
## 66 2.46% 8,540,945 15.783471 -90.230759
## 67 4.30% 4,661,505 9.945587 -9.696645
## 68 2.47% 840,922 11.803749 -15.180413
## 69 11.85% 208,912 4.860416 -58.930180
## 70 13.78% 6,328,948 18.971187 -72.285215
## 71 5.39% 5,626,433 15.199999 -86.241905
## 72 3.40% 6,999,582 47.162494 19.503304
## 73 2.84% 339,110 64.963051 -19.020835
## 74 5.36% 471,031,528 20.593684 78.962880
## 75 4.69% 151,509,724 -0.789275 113.921327
## 76 11.38% 62,509,623 32.427908 53.688046
## 77 12.82% 27,783,368 33.223191 43.679291
## 78 4.93% 3,133,123 53.412910 -8.243890
## 79 3.86% 8,374,393 31.046051 34.851612
## 80 9.89% 42,651,966 41.871940 12.567380
## 81 8.00% 1,650,594 18.109581 -77.297508
## 82 2.29% 115,782,416 36.204824 138.252924
## 83 14.72% 9,213,048 30.585164 36.238414
## 84 4.59% 10,652,915 48.019573 66.923684
## 85 2.64% 14,461,523 -0.023559 37.906193
## 86 64,489 1.836898 -157.376832
## 87 2.18% 4,207,083 29.311660 47.481766
## 88 6.33% 2,362,644 41.204380 74.766098
## 89 0.63% 2,555,552 19.856270 102.495496
## 90 6.52% 1,304,943 56.879635 24.603189
## 91 6.23% 6,084,994 33.854721 35.862285
## 92 23.41% 607,508 -29.609988 28.233608
## 93 2.81% 2,548,426 6.428055 -9.429499
## 94 18.56% 5,448,597 26.335100 17.228331
## 95 6.35% 1,891,013 55.169438 23.881275
## 96 5.36% 565,488 49.815273 6.129583
## 97 1.76% 10,210,849 -18.766947 46.869107
## 98 5.65% 3,199,301 -13.254308 34.301525
## 99 3.32% 24,475,766 4.210484 101.975766
## 100 6.14% 213,645 3.202778 73.220680
## 101 7.22% 8,479,688 17.570692 -3.996166
## 102 3.47% 475,902 35.937496 14.375416
## 103 9.55% 2,466,821 21.007890 -10.940835
## 104 6.67% 515,980 -20.348404 57.552152
## 105 3.42% 102,626,859 23.634501 -102.552784
## 106 25,963 7.425554 150.550812
## 107 5.47% 1,135,502 47.411631 28.369885
## 108 6.01% 2,210,626 46.862496 103.846656
## 109 14.88% 417,765 42.708678 19.374390
## 110 9.02% 22,975,026 31.791702 -7.092620
## 111 3.24% 11,092,106 -18.665695 35.529562
## 112 1.58% 16,674,093 21.916221 95.955974
## 113 20.27% 1,273,258 -22.957640 18.490410
## 114 1.41% 5,765,513 28.394857 84.124008
## 115 3.20% 15,924,729 52.132633 5.291266
## 116 4.07% 4,258,860 -40.900557 174.885971
## 117 6.84% 3,846,137 12.865416 -85.207229
## 118 0.47% 3,850,231 17.607789 8.081666
## 119 8.10% 102,806,948 9.081999 8.675277
## 120 2.74% 15,947,412 40.339852 127.510093
## 121 3.35% 4,418,218 60.472024 8.468946
## 122 2.67% 4,250,777 21.473533 55.975413
## 123 4.45% 79,927,762 30.375321 69.345116
## 124 3.90% 2,890,084 8.537981 -80.782127
## 125 2.46% 1,162,834 -6.314993 143.955550
## 126 4.81% 4,359,150 -23.442503 -58.443832
## 127 3.31% 25,390,339 -9.189967 -75.015152
## 128 2.15% 50,975,903 12.879721 121.774017
## 129 3.47% 22,796,574 51.919438 19.145136
## 130 6.33% 6,753,579 39.399872 -8.224454
## 131 0.09% 2,809,071 25.354826 51.183884
## 132 3.98% 10,468,793 45.943161 24.966760
## 133 4.59% 107,683,889 61.524010 105.318756
## 134 1.03% 2,186,104 -1.940278 29.873888
## 135 20.71% 34,280 13.909444 -60.978893
## 136 18.88% 58,185 12.984305 -61.287228
## 137 8.36% 35,588 -13.759029 -172.104629
## 138 5.93% 28,807,838 23.885942 45.079162
## 139 6.60% 7,765,706 14.497401 -14.452362
## 140 12.69% 3,907,243 44.016521 21.005859
## 141 55,762 -4.679574 55.491977
## 142 4.43% 3,319,366 8.460555 -11.779889
## 143 4.11% 5,703,569 1.352083 103.819836
## 144 5.56% 2,930,419 48.669026 19.699024
## 145 4.20% 1,144,654 46.151241 14.995463
## 146 0.58% 162,164 -9.645710 160.156194
## 147 11.35% 7,034,861 5.152149 46.199616
## 148 28.18% 39,149,717 -30.559482 22.937506
## 149 4.15% 42,106,719 35.907757 127.766922
## 150 13.96% 37,927,409 40.463667 -3.749220
## 151 4.20% 4,052,088 7.873054 80.771797
## 152 16.53% 14,957,233 12.862807 30.217636
## 153 7.33% 384,258 3.919305 -56.027783
## 154 6.48% 9,021,165 60.128161 18.643501
## 155 4.58% 6,332,428 46.818188 8.227512
## 156 8.37% 9,358,019 34.802075 38.996815
## 157 11.02% 2,545,477 38.861034 71.276093
## 158 1.98% 20,011,885 -6.369028 34.888822
## 159 0.75% 35,294,600 15.870032 100.992541
## 160 4.55% 400,182 -8.874217 125.727539
## 161 2.04% 3,414,638 8.619543 0.824782
## 162 1.12% 24,145 -21.178986 -175.198242
## 163 2.69% 741,944 10.691803 -61.222503
## 164 16.02% 8,099,061 33.886917 9.537499
## 165 13.49% 63,097,818 38.963745 35.243322
## 166 3.91% 3,092,738 38.969719 59.556278
## 167 1.84% 10,784,516 1.373333 32.290275
## 168 8.88% 30,835,699 48.379433 31.165580
## 169 2.35% 8,479,744 23.424076 53.847818
## 170 3.85% 55,908,316 55.378051 -3.435973
## 171 14.70% 270,663,028 37.090240 -95.712891
## 172 8.73% 3,303,394 -32.522779 -55.765835
## 173 5.92% 16,935,729 41.377491 64.585262
## 174 4.39% 76,152 -15.376706 166.959158
## 175 8.80% 25,162,368 6.423750 -66.589730
## 176 2.01% 35,332,140 14.058324 108.277199
## 177 12.91% 10,869,523 15.552727 48.516388
## 178 11.43% 7,871,713 -13.133897 27.849332
## 179 4.95% 4,717,305 -19.015438 29.154857data$GDP <- gsub(",", "", data$GDP)
data## Country Density..P.Km2. Abbreviation
## 1 Afghanistan 60 AF
## 2 Albania 105 AL
## 3 Algeria 18 DZ
## 4 Angola 26 AO
## 5 Antigua and Barbuda 223 AG
## 6 Argentina 17 AR
## 7 Armenia 104 AM
## 8 Australia 3 AU
## 9 Austria 109 AT
## 10 Azerbaijan 123 AZ
## 11 The Bahamas 39 BS
## 12 Bahrain 2,239 BH
## 13 Bangladesh 1,265 BD
## 14 Barbados 668 BB
## 15 Belarus 47 BY
## 16 Belgium 383 BE
## 17 Belize 17 BZ
## 18 Benin 108 BJ
## 19 Bhutan 20 BT
## 20 Bolivia 11 BO
## 21 Bosnia and Herzegovina 64 BA
## 22 Botswana 4 BW
## 23 Brazil 25 BR
## 24 Brunei 83 BN
## 25 Bulgaria 64 BG
## 26 Burkina Faso 76 BF
## 27 Burundi 463 BI
## 28 Ivory Coast 83 CI
## 29 Cape Verde 138 CV
## 30 Cambodia 95 KH
## 31 Cameroon 56 CM
## 32 Canada 4 CA
## 33 Central African Republic 8 CF
## 34 Chad 13 TD
## 35 Chile 26 CL
## 36 China 153 CN
## 37 Colombia 46 CO
## 38 Comoros 467 KM
## 39 Republic of the Congo 16
## 40 Costa Rica 100 CR
## 41 Croatia 73 HR
## 42 Cuba 106 CU
## 43 Cyprus 131 CY
## 44 Czech Republic 139 CZ
## 45 Democratic Republic of the Congo 40 CD
## 46 Denmark 137 DK
## 47 Djibouti 43 DJ
## 48 Dominican Republic 225 DO
## 49 Ecuador 71 EC
## 50 Egypt 103 EG
## 51 El Salvador 313 SV
## 52 Equatorial Guinea 50 GQ
## 53 Eritrea 35 ER
## 54 Estonia 31 EE
## 55 Ethiopia 115 ET
## 56 Fiji 49 FJ
## 57 Finland 18 FI
## 58 France 119 FR
## 59 Gabon 9 GA
## 60 The Gambia 239 GM
## 61 Georgia 57 GE
## 62 Germany 240 DE
## 63 Ghana 137 GH
## 64 Greece 81 GR
## 65 Grenada 331 GD
## 66 Guatemala 167 GT
## 67 Guinea 53 GN
## 68 Guinea-Bissau 70 GW
## 69 Guyana 4 GY
## 70 Haiti 414 HT
## 71 Honduras 89 HN
## 72 Hungary 107 HU
## 73 Iceland 3 IS
## 74 India 464 IN
## 75 Indonesia 151 ID
## 76 Iran 52 IR
## 77 Iraq 93 IQ
## 78 Republic of Ireland 72
## 79 Israel 400 IL
## 80 Italy 206 IT
## 81 Jamaica 273 JM
## 82 Japan 347 JP
## 83 Jordan 115 JO
## 84 Kazakhstan 7 KZ
## 85 Kenya 94 KE
## 86 Kiribati 147 KI
## 87 Kuwait 240 KW
## 88 Kyrgyzstan 34 KG
## 89 Laos 32 LA
## 90 Latvia 30 LV
## 91 Lebanon 667 LB
## 92 Lesotho 71 LS
## 93 Liberia 53 LR
## 94 Libya 4 LY
## 95 Lithuania 43 LT
## 96 Luxembourg 242 LU
## 97 Madagascar 48 MG
## 98 Malawi 203 MW
## 99 Malaysia 99 MY
## 100 Maldives 1,802 MV
## 101 Mali 17 ML
## 102 Malta 1,380 MT
## 103 Mauritania 5 MR
## 104 Mauritius 626 MU
## 105 Mexico 66 MX
## 106 Federated States of Micronesia 784 FM
## 107 Moldova 123 MD
## 108 Mongolia 2 MN
## 109 Montenegro 47 ME
## 110 Morocco 83 MA
## 111 Mozambique 40 MZ
## 112 Myanmar 83 MM
## 113 Namibia 3
## 114 Nepal 203 NP
## 115 Netherlands 508 NL
## 116 New Zealand 18 NZ
## 117 Nicaragua 55 NI
## 118 Niger 19 NE
## 119 Nigeria 226 NG
## 120 North Korea 214 KP
## 121 Norway 15 NO
## 122 Oman 16 OM
## 123 Pakistan 287 PK
## 124 Panama 58 PA
## 125 Papua New Guinea 20 PG
## 126 Paraguay 18 PY
## 127 Peru 26 PE
## 128 Philippines 368 PH
## 129 Poland 124 PL
## 130 Portugal 111 PT
## 131 Qatar 248 QA
## 132 Romania 84 RO
## 133 Russia 9 RU
## 134 Rwanda 525 RW
## 135 Saint Lucia 301 LC
## 136 Saint Vincent and the Grenadines 284 VC
## 137 Samoa 70 WS
## 138 Saudi Arabia 16 SA
## 139 Senegal 87 SN
## 140 Serbia 100 RS
## 141 Seychelles 214 SC
## 142 Sierra Leone 111 SL
## 143 Singapore 8,358 SG
## 144 Slovakia 114 SK
## 145 Slovenia 103 SI
## 146 Solomon Islands 25 SB
## 147 Somalia 25 SO
## 148 South Africa 49 ZA
## 149 South Korea 527 KR
## 150 Spain 94 ES
## 151 Sri Lanka 341 LK
## 152 Sudan 25 SD
## 153 Suriname 4 SR
## 154 Sweden 25 SE
## 155 Switzerland 219 CH
## 156 Syria 95 SY
## 157 Tajikistan 68 TJ
## 158 Tanzania 67 TZ
## 159 Thailand 137 TH
## 160 East Timor 89 TL
## 161 Togo 152 TG
## 162 Tonga 147 TO
## 163 Trinidad and Tobago 273 TT
## 164 Tunisia 76 TN
## 165 Turkey 110 TR
## 166 Turkmenistan 13 TM
## 167 Uganda 229 UG
## 168 Ukraine 75 UA
## 169 United Arab Emirates 118 AE
## 170 United Kingdom 281 GB
## 171 United States 36 US
## 172 Uruguay 20 UY
## 173 Uzbekistan 79 UZ
## 174 Vanuatu 25 VU
## 175 Venezuela 32 VE
## 176 Vietnam 314 VN
## 177 Yemen 56 YE
## 178 Zambia 25 ZM
## 179 Zimbabwe 38 ZW
## Agricultural.Land.... Land.Area.Km2. Armed.Forces.size Birth.Rate
## 1 58.10% 652,230 323,000 32.49
## 2 43.10% 28,748 9,000 11.78
## 3 17.40% 2,381,741 317,000 24.28
## 4 47.50% 1,246,700 117,000 40.73
## 5 20.50% 443 0 15.33
## 6 54.30% 2,780,400 105,000 17.02
## 7 58.90% 29,743 49,000 13.99
## 8 48.20% 7,741,220 58,000 12.60
## 9 32.40% 83,871 21,000 9.70
## 10 57.70% 86,600 82,000 14.00
## 11 1.40% 13,880 1,000 13.97
## 12 11.10% 765 19,000 13.99
## 13 70.60% 148,460 221,000 18.18
## 14 23.30% 430 1,000 10.65
## 15 42.00% 207,600 155,000 9.90
## 16 44.60% 30,528 32,000 10.30
## 17 7.00% 22,966 2,000 20.79
## 18 33.30% 112,622 12,000 36.22
## 19 13.60% 38,394 6,000 17.26
## 20 34.80% 1,098,581 71,000 21.75
## 21 43.10% 51,197 11,000 8.11
## 22 45.60% 581,730 9,000 24.82
## 23 33.90% 8,515,770 730,000 13.92
## 24 2.70% 5,765 8,000 14.90
## 25 46.30% 110,879 31,000 8.90
## 26 44.20% 274,200 11,000 37.93
## 27 79.20% 27,830 31,000 39.01
## 28 64.80% 322,463 27,000 35.74
## 29 19.60% 4,033 1,000 19.49
## 30 30.90% 181,035 191,000 22.46
## 31 20.60% 475,440 24,000 35.39
## 32 6.90% 9,984,670 72,000 10.10
## 33 8.20% 622,984 8,000 35.35
## 34 39.70% 1,284,000 35,000 42.17
## 35 21.20% 756,096 122,000 12.43
## 36 56.20% 9,596,960 2,695,000 10.90
## 37 40.30% 1,138,910 481,000 14.88
## 38 71.50% 2,235 31.88
## 39 31.10% 342,000 12,000 32.86
## 40 34.50% 51,100 10,000 13.97
## 41 27.60% 56,594 18,000 9.00
## 42 59.90% 110,860 76,000 10.17
## 43 12.20% 9,251 16,000 10.46
## 44 45.20% 78,867 23,000 10.70
## 45 11.60% 2,344,858 134,000 41.18
## 46 62.00% 43,094 15,000 10.60
## 47 73.40% 23,200 13,000 21.47
## 48 48.70% 48,670 71,000 19.51
## 49 22.20% 283,561 41,000 19.72
## 50 3.80% 1,001,450 836,000 26.38
## 51 76.40% 21,041 42,000 18.25
## 52 10.10% 28,051 1,000 33.24
## 53 75.20% 117,600 202,000 30.30
## 54 23.10% 45,228 6,000 10.90
## 55 36.30% 1,104,300 138,000 32.34
## 56 23.30% 18,274 4,000 21.28
## 57 7.50% 338,145 25,000 8.60
## 58 52.40% 643,801 307,000 11.30
## 59 20.00% 267,667 7,000 31.61
## 60 59.80% 11,300 1,000 38.54
## 61 34.50% 69,700 26,000 13.47
## 62 47.70% 357,022 180,000 9.50
## 63 69.00% 238,533 16,000 29.41
## 64 47.60% 131,957 146,000 8.10
## 65 23.50% 349 16.47
## 66 36.00% 108,889 43,000 24.56
## 67 59.00% 245,857 13,000 36.36
## 68 58.00% 36,125 4,000 35.13
## 69 8.60% 214,969 3,000 19.97
## 70 66.80% 27,750 0 24.35
## 71 28.90% 112,090 23,000 21.60
## 72 58.40% 93,028 40,000 9.60
## 73 18.70% 103,000 0 12.00
## 74 60.40% 3,287,263 3,031,000 17.86
## 75 31.50% 1,904,569 676,000 18.07
## 76 28.20% 1,648,195 563,000 18.78
## 77 21.40% 438,317 209,000 29.08
## 78 64.50% 70,273 9,000 12.50
## 79 24.60% 20,770 178,000 20.80
## 80 43.20% 301,340 347,000 7.30
## 81 41.00% 10,991 4,000 16.10
## 82 12.30% 377,944 261,000 7.40
## 83 12.00% 89,342 116,000 21.98
## 84 80.40% 2,724,900 71,000 21.77
## 85 48.50% 580,367 29,000 28.75
## 86 42.00% 811 27.89
## 87 8.40% 17,818 25,000 13.94
## 88 55.00% 199,951 21,000 27.10
## 89 10.30% 236,800 129,000 23.55
## 90 31.10% 64,589 6,000 10.00
## 91 64.30% 10,400 80,000 17.55
## 92 77.60% 30,355 2,000 26.81
## 93 28.00% 111,369 2,000 33.04
## 94 8.70% 1,759,540 0 18.83
## 95 47.20% 65,300 34,000 10.00
## 96 53.70% 2,586 2,000 10.30
## 97 71.20% 587,041 22,000 32.66
## 98 61.40% 118,484 15,000 34.12
## 99 26.30% 329,847 136,000 16.75
## 100 26.30% 298 5,000 14.20
## 101 33.80% 1,240,192 18,000 41.54
## 102 32.40% 316 2,000 9.20
## 103 38.50% 1,030,700 21,000 33.69
## 104 42.40% 2,040 3,000 10.20
## 105 54.60% 1,964,375 336,000 17.60
## 106 31.40% 702 22.82
## 107 74.20% 33,851 7,000 10.10
## 108 71.50% 1,564,116 18,000 24.13
## 109 19.00% 13,812 12,000 11.73
## 110 68.50% 446,550 246,000 18.94
## 111 63.50% 799,380 11,000 37.52
## 112 19.50% 676,578 513,000 17.55
## 113 47.10% 824,292 16,000 28.64
## 114 28.70% 147,181 112,000 19.89
## 115 53.30% 41,543 41,000 9.70
## 116 40.50% 268,838 9,000 11.98
## 117 42.10% 130,370 12,000 20.64
## 118 36.10% 1,267,000 10,000 46.08
## 119 77.70% 923,768 215,000 37.91
## 120 21.80% 120,538 1,469,000 13.89
## 121 2.70% 323,802 23,000 10.40
## 122 4.60% 309,500 47,000 19.19
## 123 47.80% 796,095 936,000 28.25
## 124 30.40% 75,420 26,000 18.98
## 125 2.60% 462,840 4,000 27.07
## 126 55.10% 406,752 27,000 20.57
## 127 18.50% 1,285,216 158,000 17.95
## 128 41.70% 300,000 153,000 20.55
## 129 46.90% 312,685 191,000 10.20
## 130 39.50% 92,212 52,000 8.50
## 131 5.80% 11,586 22,000 9.54
## 132 58.80% 238,391 126,000 9.60
## 133 13.30% 17,098,240 1,454,000 11.50
## 134 73.40% 26,338 35,000 31.70
## 135 17.40% 616 12.00
## 136 25.60% 389 14.24
## 137 12.40% 2,831 24.38
## 138 80.80% 2,149,690 252,000 17.80
## 139 46.10% 196,722 19,000 34.52
## 140 39.30% 77,474 32,000 9.20
## 141 3.40% 455 0 17.10
## 142 54.70% 71,740 9,000 33.41
## 143 0.90% 716 81,000 8.80
## 144 39.20% 49,035 16,000 10.60
## 145 30.70% 20,273 7,000 9.40
## 146 3.90% 28,896 32.44
## 147 70.30% 637,657 20,000 41.75
## 148 79.80% 1,219,090 80,000 20.51
## 149 17.40% 99,720 634,000 6.40
## 150 52.60% 505,370 196,000 7.90
## 151 43.70% 65,610 317,000 15.83
## 152 28.70% 1,861,484 124,000 32.18
## 153 0.60% 163,820 2,000 18.54
## 154 7.40% 450,295 30,000 11.40
## 155 38.40% 41,277 21,000 10.00
## 156 75.80% 185,180 239,000 23.69
## 157 34.10% 144,100 17,000 30.76
## 158 44.80% 947,300 28,000 36.70
## 159 43.30% 513,120 455,000 10.34
## 160 25.60% 14,874 2,000 29.42
## 161 70.20% 56,785 10,000 33.11
## 162 45.80% 747 24.30
## 163 10.50% 5,128 4,000 12.94
## 164 64.80% 163,610 48,000 17.56
## 165 49.80% 783,562 512,000 16.03
## 166 72.00% 488,100 42,000 23.83
## 167 71.90% 241,038 46,000 38.14
## 168 71.70% 603,550 297,000 8.70
## 169 5.50% 83,600 63,000 10.33
## 170 71.70% 243,610 148,000 11.00
## 171 44.40% 9,833,517 1,359,000 11.60
## 172 82.60% 176,215 22,000 13.86
## 173 62.90% 447,400 68,000 23.30
## 174 15.30% 12,189 29.60
## 175 24.50% 912,050 343,000 17.88
## 176 39.30% 331,210 522,000 16.75
## 177 44.60% 527,968 40,000 30.45
## 178 32.10% 752,618 16,000 36.19
## 179 41.90% 390,757 51,000 30.68
## Calling.Code Capital.Major.City Co2.Emissions CPI CPI.Change....
## 1 93 Kabul 8,672 149.9 2.30%
## 2 355 Tirana 4,536 119.05 1.40%
## 3 213 Algiers 150,006 151.36 2.00%
## 4 244 Luanda 34,693 261.73 17.10%
## 5 1 St. John's, Saint John 557 113.81 1.20%
## 6 54 Buenos Aires 201,348 232.75 53.50%
## 7 374 Yerevan 5,156 129.18 1.40%
## 8 61 Canberra 375,908 119.8 1.60%
## 9 43 Vienna 61,448 118.06 1.50%
## 10 994 Baku 37,620 156.32 2.60%
## 11 1 Nassau, Bahamas 1,786 116.22 2.50%
## 12 973 Manama 31,694 117.59 2.10%
## 13 880 Dhaka 84,246 179.68 5.60%
## 14 1 Bridgetown 1,276 134.09 4.10%
## 15 375 Minsk 58,280 5.60%
## 16 32 City of Brussels 96,889 117.11 1.40%
## 17 501 Belmopan 568 105.68 -0.90%
## 18 229 Porto-Novo 6,476 110.71 -0.90%
## 19 975 Thimphu 1,261 167.18 2.70%
## 20 591 Sucre 21,606 148.32 1.80%
## 21 387 Sarajevo 21,848 104.9 0.60%
## 22 267 Gaborone 6,340 149.75 2.80%
## 23 55 Bras��� 462,299 167.4 3.70%
## 24 673 Bandar Seri Begawan 7,664 99.03 -0.40%
## 25 359 Sofia 41,708 114.42 3.10%
## 26 226 Ouagadougou 3,418 106.58 -3.20%
## 27 257 Bujumbura 495 182.11 -0.70%
## 28 225 Yamoussoukro 9,674 111.61 -0.90%
## 29 238 Praia 543 110.5 1.10%
## 30 855 Phnom Penh 9,919 127.63 2.50%
## 31 237 Yaound� 8,291 118.65 2.50%
## 32 1 Ottawa 544,894 116.76 1.90%
## 33 236 Bangui 297 186.86 37.10%
## 34 235 N'Djamena 1,016 117.7 -1.00%
## 35 56 Santiago 85,822 131.91 2.60%
## 36 86 Beijing 9,893,038 125.08 2.90%
## 37 57 Bogot� 97,814 140.95 3.50%
## 38 269 Moroni, Comoros 202 103.62 -4.30%
## 39 242 Brazzaville 3,282 124.74 2.20%
## 40 506 San Jos������ 8,023 128.85 2.10%
## 41 385 Zagreb 17,488 109.82 0.80%
## 42 53 Havana 28,284
## 43 357 Nicosia 6,626 102.51 0.30%
## 44 420 Prague 102,218 116.48 2.80%
## 45 243 Kinshasa 2,021 133.85 2.90%
## 46 45 Copenhagen 31,786 110.35 0.80%
## 47 253 Djibouti City 620 120.25 3.30%
## 48 1 Santo Domingo 25,258 135.5 1.80%
## 49 593 Quito 41,155 124.14 0.30%
## 50 20 Cairo 238,560 288.57 9.20%
## 51 503 San Salvador 7,169 111.23 0.10%
## 52 240 Malabo 5,655 124.35 1.20%
## 53 291 Asmara 711
## 54 372 Tallinn 16,590 122.14 2.30%
## 55 251 Addis Ababa 14,870 143.86 15.80%
## 56 679 Suva 2,046 132.3 1.80%
## 57 358 Helsinki 45,871 112.33 1.00%
## 58 33 Paris 303,276 110.05 1.10%
## 59 241 Libreville 5,321 122.19 2.10%
## 60 220 Banjul 532 172.73 7.10%
## 61 995 Tbilisi 10,128 133.61 4.90%
## 62 49 Berlin 727,973 112.85 1.40%
## 63 233 Accra 16,670 268.36 7.20%
## 64 30 Athens 62,434 101.87 0.20%
## 65 1 St. George's, Grenada 268 107.43 0.80%
## 66 502 Guatemala City 16,777 142.92 3.70%
## 67 224 Conakry 2,996 262.95 9.50%
## 68 245 Bissau 293 111.65 1.40%
## 69 592 Georgetown, Guyana 2,384 116.19 2.10%
## 70 509 Port-au-Prince 2,978 179.29 12.50%
## 71 504 Tegucigalpa 9,813 150.34 4.40%
## 72 36 Budapest 45,537 121.64 3.30%
## 73 354 Reykjav�� 2,065 129 3.00%
## 74 91 New Delhi 2,407,672 180.44 7.70%
## 75 62 Jakarta 563,325 151.18 3.00%
## 76 98 Tehran 661,710 550.93 39.90%
## 77 964 Baghdad 190,061 119.86 0.40%
## 78 353 Dublin 37,711 106.58 0.90%
## 79 972 Jerusalem 65,166 108.15 0.80%
## 80 39 Rome 320,411 110.62 0.60%
## 81 1876 Kingston, Jamaica 8,225 162.47 3.90%
## 82 81 Tokyo 1,135,886 105.48 0.50%
## 83 962 Amman 25,108 125.6 0.80%
## 84 7 Astana 247,207 182.75 5.20%
## 85 254 Nairobi 17,910 180.51 4.70%
## 86 686 South Tarawa 66 99.55 0.60%
## 87 965 Kuwait City 98,734 126.6 1.10%
## 88 996 Bishkek 9,787 155.68 1.10%
## 89 856 Vientiane 17,763 135.87 3.30%
## 90 371 Riga 7,004 116.86 2.80%
## 91 961 Beirut 24,796 130.02 3.00%
## 92 266 Maseru 2,512 155.86 5.20%
## 93 231 Monrovia 1,386 223.13 23.60%
## 94 218 50,564 125.71 2.60%
## 95 370 Vilnius 12,963 118.38 2.30%
## 96 352 Luxembourg City 8,988 115.09 1.70%
## 97 261 Antananarivo 3,905 184.33 5.60%
## 98 265 Lilongwe 1,298 418.34 9.40%
## 99 60 Kuala Lumpur 248,289 121.46 0.70%
## 100 960 Mal� 1,445 99.7 0.20%
## 101 223 Bamako 3,179 108.73 -1.70%
## 102 356 Valletta 1,342 113.45 1.60%
## 103 222 Nouakchott 2,739 135.02 2.30%
## 104 230 Port Louis 4,349 129.91 0.40%
## 105 52 Mexico City 486,406 141.54 3.60%
## 106 691 Palikir 143 112.1 0.50%
## 107 373 Chi���� 5,115 166.2 4.80%
## 108 976 Ulaanbaatar 25,368 195.76 7.30%
## 109 382 Podgorica 2,017 116.32 2.60%
## 110 212 Rabat 61,276 111.07 0.20%
## 111 258 Maputo 7,943 182.31 2.80%
## 112 95 Naypyidaw 25,280 168.18 8.80%
## 113 264 Windhoek 4,228 157.97 3.70%
## 114 977 Kathmandu 9,105 188.73 5.60%
## 115 31 Amsterdam 170,780 115.91 2.60%
## 116 64 Wellington 34,382 114.24 1.60%
## 117 505 Managua 5,592 162.74 5.40%
## 118 227 Niamey 2,017 109.32 -2.50%
## 119 234 Abuja 120,369 267.51 11.40%
## 120 850 Pyongyang 28,284
## 121 47 Oslo 41,023 120.27 2.20%
## 122 968 Muscat 63,457 113.53 0.10%
## 123 92 Islamabad 201,150 182.32 10.60%
## 124 507 Panama City 10,715 122.07 -0.40%
## 125 675 Port Moresby 7,536 155.99 3.60%
## 126 595 Asunci�� 7,407 143.82 2.80%
## 127 51 Lima 57,414 129.78 2.10%
## 128 63 Manila 122,287 129.61 2.50%
## 129 48 Warsaw 299,037 114.11 2.20%
## 130 351 Lisbon 48,742 110.62 0.30%
## 131 974 Doha 103,259 115.38 -0.70%
## 132 40 Bucharest 69,259 123.78 3.80%
## 133 7 Moscow 1,732,027 180.75 4.50%
## 134 250 Kigali 1,115 151.09 3.40%
## 135 1 Castries 414 110.13 1.90%
## 136 1 Kingstown 220 109.67 2.30%
## 137 685 Apia 246 117.56 1.00%
## 138 966 Riyadh 563,449 118.4 -1.20%
## 139 221 Dakar 10,902 109.25 1.80%
## 140 381 Belgrade 45,221 144 1.80%
## 141 248 Victoria, Seychelles 605 129.96 1.80%
## 142 232 Freetown 1,093 234.16 14.80%
## 143 65 37,535 114.41 0.60%
## 144 421 Bratislava 32,424 115.34 2.70%
## 145 386 Ljubljana 12,633 111.05 1.60%
## 146 677 Honiara 169 133.06 1.60%
## 147 252 Mogadishu 645
## 148 27 Pretoria 476,644 158.93 4.10%
## 149 82 Seoul 620,302 115.16 0.40%
## 150 34 Madrid 244,002 110.96 0.70%
## 151 94 Colombo 23,362 155.53 3.50%
## 152 249 Khartoum 20,000 1,344.19 51.00%
## 153 597 Paramaribo 1,738 294.66 22.00%
## 154 46 Stockholm 43,252 110.51 1.80%
## 155 41 Bern 34,477 99.55 0.40%
## 156 963 Damascus 28,830 143.2 36.70%
## 157 992 Dushanbe 5,310 148.57 6.00%
## 158 255 Dodoma 11,973 187.43 3.50%
## 159 66 Bangkok 283,763 113.27 0.70%
## 160 670 Dili 495 145.38 2.60%
## 161 228 Lom� 3,000 113.3 0.70%
## 162 676 Nuku���� 128 121.09 7.40%
## 163 1 Port of Spain 43,868 141.75 1.00%
## 164 216 Tunis 29,937 155.33 6.70%
## 165 90 Ankara 372,725 234.44 15.20%
## 166 993 Ashgabat 70,630
## 167 256 Kampala 5,680 173.87 2.90%
## 168 380 Kyiv 202,250 281.66 7.90%
## 169 971 Abu Dhabi 206,324 114.52 -1.90%
## 170 44 London 379,025 119.62 1.70%
## 171 1 Washington, D.C. 5,006,302 117.24 7.50%
## 172 598 Montevideo 6,766 202.92 7.90%
## 173 998 Tashkent 91,811
## 174 678 Port Vila 147 117.13 2.80%
## 175 58 Caracas 164,175 2,740.27 254.90%
## 176 84 Hanoi 192,668 163.52 2.80%
## 177 967 Sanaa 10,609 157.58 8.10%
## 178 260 Lusaka 5,141 212.31 9.20%
## 179 263 Harare 10,983 105.51 0.90%
## Currency.Code Fertility.Rate Forested.Area.... Gasoline.Price
## 1 AFN 4.47 2.10% $0.70
## 2 ALL 1.62 28.10% $1.36
## 3 DZD 3.02 0.80% $0.28
## 4 AOA 5.52 46.30% $0.97
## 5 XCD 1.99 22.30% $0.99
## 6 ARS 2.26 9.80% $1.10
## 7 AMD 1.76 11.70% $0.77
## 8 AUD 1.74 16.30% $0.93
## 9 EUR 1.47 46.90% $1.20
## 10 AZN 1.73 14.10% $0.56
## 11 1.75 51.40% $0.92
## 12 BHD 1.99 0.80% $0.43
## 13 BDT 2.04 11.00% $1.12
## 14 BBD 1.62 14.70% $1.81
## 15 BYN 1.45 42.60% $0.60
## 16 EUR 1.62 22.60% $1.43
## 17 BZD 2.31 59.70% $1.13
## 18 XOF 4.84 37.80% $0.72
## 19 1.98 72.50% $0.98
## 20 BOB 2.73 50.30% $0.71
## 21 BAM 1.27 42.70% $1.05
## 22 BWP 2.87 18.90% $0.71
## 23 BRL 1.73 58.90% $1.02
## 24 BND 1.85 72.10% $0.37
## 25 BGN 1.56 35.40% $1.11
## 26 XOF 5.19 19.30% $0.98
## 27 BIF 5.41 10.90% $1.21
## 28 XOF 4.65 32.70% $0.93
## 29 CVE 2.27 22.50% $1.02
## 30 2.50 52.90% $0.90
## 31 XAF 4.57 39.30% $1.03
## 32 CAD 1.50 38.20% $0.81
## 33 4.72 35.60% $1.41
## 34 XAF 5.75 3.80% $0.78
## 35 CLP 1.65 24.30% $1.03
## 36 CNY 1.69 22.40% $0.96
## 37 COP 1.81 52.70% $0.68
## 38 KMF 4.21 19.70%
## 39 XAF 4.43 65.40% $0.97
## 40 CRC 1.75 54.60% $0.98
## 41 HRK 1.47 34.40% $1.26
## 42 CUP 1.62 31.30% $1.40
## 43 EUR 1.33 18.70% $1.23
## 44 CZK 1.69 34.60% $1.17
## 45 CDF 5.92 67.20% $1.49
## 46 DKK 1.73 14.70% $1.55
## 47 DJF 2.73 0.20% $1.32
## 48 DOP 2.35 41.70% $1.07
## 49 USD 2.43 50.20% $0.61
## 50 EGP 3.33 0.10% $0.40
## 51 2.04 12.60% $0.83
## 52 XAF 4.51 55.50%
## 53 ERN 4.06 14.90% $2.00
## 54 EUR 1.59 51.30% $1.14
## 55 ETB 4.25 12.50% $0.75
## 56 FJD 2.77 55.90% $0.82
## 57 EUR 1.41 73.10% $1.45
## 58 EUR 1.88 31.20% $1.39
## 59 XAF 3.97 90.00% $0.92
## 60 GMD 5.22 48.40% $1.18
## 61 GEL 2.06 40.60% $0.76
## 62 EUR 1.56 32.70% $1.39
## 63 GHS 3.87 41.20% $0.92
## 64 EUR 1.35 31.70% $1.54
## 65 XCD 2.06 50.00% $1.12
## 66 GTQ 2.87 32.70% $0.79
## 67 GNF 4.70 25.80% $0.90
## 68 XOF 4.48 69.80%
## 69 GYD 2.46 83.90% $0.90
## 70 HTG 2.94 3.50% $0.81
## 71 HNL 2.46 40.00% $0.98
## 72 HUF 1.54 22.90% $1.18
## 73 ISK 1.71 0.50% $1.69
## 74 INR 2.22 23.80% $0.97
## 75 IDR 2.31 49.90% $0.63
## 76 IRR 2.14 6.60% $0.40
## 77 IQD 3.67 1.90% $0.61
## 78 EUR 1.75 11.00% $1.37
## 79 ILS 3.09 7.70% $1.57
## 80 EUR 1.29 31.80% $1.61
## 81 JMD 1.98 30.90% $1.11
## 82 1.42 68.50% $1.06
## 83 JOD 2.76 1.10% $1.10
## 84 KZT 2.84 1.20% $0.42
## 85 KES 3.49 7.80% $0.95
## 86 AUD 3.57 15.00%
## 87 KWD 2.08 0.40% $0.35
## 88 KGS 3.30 3.30% $0.56
## 89 LAK 2.67 82.10% $0.93
## 90 EUR 1.60 54.00% $1.16
## 91 LBP 2.09 13.40% $0.74
## 92 3.14 1.60% $0.70
## 93 4.32 43.10% $0.80
## 94 LYD 2.24 0.10% $0.11
## 95 EUR 1.63 34.80% $1.16
## 96 EUR 1.37 35.70% $1.19
## 97 MGA 4.08 21.40% $1.11
## 98 MWK 4.21 33.20% $1.15
## 99 MYR 2.00 67.60% $0.45
## 100 1.87 3.30% $1.63
## 101 XOF 5.88 3.80% $1.12
## 102 EUR 1.23 1.10% $1.36
## 103 MRU 4.56 0.20% $1.13
## 104 MUR 1.41 19.00% $1.12
## 105 MXN 2.13 33.90% $0.73
## 106 USD 3.05 91.90%
## 107 MDL 1.26 12.60% $0.80
## 108 MNT 2.90 8.00% $0.72
## 109 EUR 1.75 61.50% $1.16
## 110 MAD 2.42 12.60% $0.99
## 111 MZN 4.85 48.00% $0.65
## 112 MMK 2.15 43.60% $0.54
## 113 3.40 8.30% $0.76
## 114 NPR 1.92 25.40% $0.91
## 115 1.59 11.20% $1.68
## 116 NZD 1.71 38.60% $1.40
## 117 NIO 2.40 25.90% $0.91
## 118 XOF 6.91 0.90% $0.88
## 119 NGN 5.39 7.20% $0.46
## 120 KPW 1.90 40.70% $0.58
## 121 NOK 1.56 33.20% $1.78
## 122 OMR 2.89 0.00% $0.45
## 123 PKR 3.51 1.90% $0.79
## 124 2.46 61.90% $0.74
## 125 PGK 3.56 74.10% $1.36
## 126 PYG 2.43 37.70% $1.04
## 127 PEN 2.25 57.70% $0.99
## 128 PHP 2.58 27.80% $0.86
## 129 PLN 1.46 30.90% $1.07
## 130 EUR 1.38 34.60% $1.54
## 131 QAR 1.87 0.00% $0.40
## 132 RON 1.71 30.10% $1.16
## 133 RUB 1.57 49.80% $0.59
## 134 RWF 4.04 19.70% $1.17
## 135 XCD 1.44 33.20% $1.30
## 136 XCD 1.89 69.20%
## 137 WST 3.88 60.40% $0.91
## 138 SAR 2.32 0.50% $0.24
## 139 XOF 4.63 42.80% $1.14
## 140 RSD 1.49 31.10% $1.16
## 141 SCR 2.41 88.40%
## 142 SLL 4.26 43.10% $1.08
## 143 SGD 1.14 23.10% $1.25
## 144 EUR 1.52 40.40% $1.32
## 145 EUR 1.60 62.00% $1.32
## 146 SBD 4.40 77.90%
## 147 SOS 6.07 10.00% $1.41
## 148 ZAR 2.41 7.60% $0.92
## 149 KRW 0.98 63.40% $1.22
## 150 EUR 1.26 36.90% $1.26
## 151 LKR 2.20 32.90% $0.88
## 152 SDG 4.41 8.10% $0.95
## 153 SRD 2.42 98.30% $1.29
## 154 SEK 1.76 68.90% $1.42
## 155 CHF 1.52 31.80% $1.45
## 156 SYP 2.81 2.70% $0.83
## 157 TJS 3.59 3.00% $0.71
## 158 TZS 4.89 51.60% $0.87
## 159 THB 1.53 32.20% $0.71
## 160 USD 4.02 45.40% $1.10
## 161 XOF 4.32 3.10% $0.71
## 162 TOP 3.56 12.50%
## 163 TTD 1.73 46.00% $0.54
## 164 TND 2.20 6.80% $0.73
## 165 TRY 2.07 15.40% $1.42
## 166 TMT 2.79 8.80% $0.29
## 167 UGX 4.96 9.70% $0.94
## 168 UAH 1.30 16.70% $0.83
## 169 AED 1.41 4.60% $0.49
## 170 GBP 1.68 13.10% $1.46
## 171 USD 1.73 33.90% $0.71
## 172 UYU 1.97 10.70% $1.50
## 173 UZS 2.42 7.50% $1.03
## 174 VUV 3.78 36.10% $1.31
## 175 VED 2.27 52.70% $0.00
## 176 VND 2.05 48.10% $0.80
## 177 YER 3.79 1.00% $0.92
## 178 ZMW 4.63 65.20% $1.40
## 179 3.62 35.50% $1.34
## GDP Gross.primary.education.enrollment....
## 1 $19101353833 104.00%
## 2 $15278077447 107.00%
## 3 $169988236398 109.90%
## 4 $94635415870 113.50%
## 5 $1727759259 105.00%
## 6 $449663446954 109.70%
## 7 $13672802158 92.70%
## 8 $1392680589329 100.30%
## 9 $446314739528 103.10%
## 10 $39207000000 99.70%
## 11 $12827000000 81.40%
## 12 $38574069149 99.40%
## 13 $302571254131 116.50%
## 14 $5209000000 99.40%
## 15 $63080457023 100.50%
## 16 $529606710418 103.90%
## 17 $1879613600 111.70%
## 18 $14390709095 122.00%
## 19 $2446674101 100.10%
## 20 $40895322865 98.20%
## 21 $20047848435
## 22 $18340510789 103.20%
## 23 $1839758040766 115.40%
## 24 $13469422941 103.20%
## 25 $86000000000 89.30%
## 26 $15745810235 96.10%
## 27 $3012334882 121.40%
## 28 $58792205642 99.80%
## 29 $1981845741 104.00%
## 30 $27089389787 107.40%
## 31 $38760467033 103.40%
## 32 $1736425629520 100.90%
## 33 $2220307369 102.00%
## 34 $11314951343 86.80%
## 35 $282318159745 101.40%
## 36 $19910000000000 100.20%
## 37 $323802808108 114.50%
## 38 $1185728677 99.50%
## 39 $10820591131 106.60%
## 40 $61773944174 113.30%
## 41 $60415553039 96.50%
## 42 $100023000000 101.90%
## 43 $24564647935 99.30%
## 44 $246489245495 100.70%
## 45 $47319624204 108.00%
## 46 $348078018464 101.30%
## 47 $3318716359 75.30%
## 48 $88941298258 105.70%
## 49 $107435665000 103.30%
## 50 $303175127598 106.30%
## 51 $27022640000 94.80%
## 52 $11026774945 61.80%
## 53 $2065001626 68.40%
## 54 $31386949981 97.20%
## 55 $96107662398 101.00%
## 56 $5535548972 106.40%
## 57 $268761201365 100.20%
## 58 $2715518274227 102.50%
## 59 $16657960228 139.90%
## 60 $1763819048 98.00%
## 61 $17743195770 98.60%
## 62 $3845630030824 104.00%
## 63 $66983634224 104.80%
## 64 $209852761469 99.60%
## 65 $1228170370 106.90%
## 66 $76710385880 101.90%
## 67 $13590281809 91.50%
## 68 $1340389411 118.70%
## 69 $4280443645 97.80%
## 70 $8498981821 113.60%
## 71 $25095395475 91.50%
## 72 $160967157504 100.80%
## 73 $24188035739 100.40%
## 74 $2611000000000 113.00%
## 75 $1119190780753 106.40%
## 76 $445345282123 110.70%
## 77 $234094042939 108.70%
## 78 $388698711348 100.90%
## 79 $395098666122 104.90%
## 80 $2001244392042 101.90%
## 81 $16458071068 91.00%
## 82 $5081769542380 98.80%
## 83 $43743661972 81.50%
## 84 $180161741180 104.40%
## 85 $95503088538 103.20%
## 86 $194647202 101.30%
## 87 $134761198946 92.40%
## 88 $8454619608 107.60%
## 89 $18173839128 102.40%
## 90 $34117202555 99.40%
## 91 $53367042272 95.10%
## 92 $2460072444 120.90%
## 93 $3070518100 85.10%
## 94 $52076250948 109.00%
## 95 $54219315600 103.90%
## 96 $71104919108 102.30%
## 97 $14083906357 142.50%
## 98 $7666704427 142.50%
## 99 $364701517788 105.30%
## 100 $5729248472 97.10%
## 101 $17510141171 75.60%
## 102 $14786156563 105.00%
## 103 $7593752450 99.90%
## 104 $14180444557 101.10%
## 105 $1258286717125 105.80%
## 106 $401932279 97.20%
## 107 $11955435457 90.60%
## 108 $13852850259 104.00%
## 109 $5494736901 100.00%
## 110 $118725279596 113.90%
## 111 $14934159926 112.60%
## 112 $76085852617 112.30%
## 113 $12366527719 124.20%
## 114 $30641380604 142.10%
## 115 $909070395161 104.20%
## 116 $206928765544 100.00%
## 117 $12520915291 120.60%
## 118 $12928145120 74.70%
## 119 $448120428859 84.70%
## 120 $32100000000 112.80%
## 121 $403336363636 100.30%
## 122 $76983094928 103.40%
## 123 $304400000000 94.30%
## 124 $66800800000 94.40%
## 125 $24969611435 108.50%
## 126 $38145288940 104.40%
## 127 $226848050820 106.90%
## 128 $376795508680 107.50%
## 129 $592164400688 100.00%
## 130 $237686075635 106.20%
## 131 $183466208791 103.80%
## 132 $250077444017 85.20%
## 133 $1699876578871 102.60%
## 134 $10122472590 133.00%
## 135 $2122450630 102.60%
## 136 $825385185 113.40%
## 137 $850655017 110.50%
## 138 $792966838162 99.80%
## 139 $23578084052 81.00%
## 140 $51409167351 100.30%
## 141 $1698843063 100.40%
## 142 $3941474311 112.80%
## 143 $372062527489 100.60%
## 144 $105422304976 98.70%
## 145 $53742159517 100.40%
## 146 $1425074226 106.20%
## 147 $4720727278 23.40%
## 148 $351431649241 100.90%
## 149 $2029000000000 98.10%
## 150 $1394116310769 102.70%
## 151 $84008783756 100.20%
## 152 $18902284476 76.80%
## 153 $3985250737 108.80%
## 154 $530832908738 126.60%
## 155 $703082435360 105.20%
## 156 $40405006007 81.70%
## 157 $8116626794 100.90%
## 158 $63177068175 94.20%
## 159 $543649976166 99.80%
## 160 $1673540300 115.30%
## 161 $5459979417 123.80%
## 162 $450353314 116.30%
## 163 $24100202834 106.20%
## 164 $38797709924 115.40%
## 165 $754411708203 93.20%
## 166 $40761142857 88.40%
## 167 $34387229486 102.70%
## 168 $153781069118 99.00%
## 169 $421142267938 108.40%
## 170 $2827113184696 101.20%
## 171 $21427700000000 101.80%
## 172 $56045912952 108.50%
## 173 $57921286440 104.20%
## 174 $917058851 109.30%
## 175 $482359318768 97.20%
## 176 $261921244843 110.60%
## 177 $26914402224 93.60%
## 178 $23064722446 98.70%
## 179 $21440758800 109.90%
## Gross.tertiary.education.enrollment.... Infant.mortality
## 1 9.70% 47.9
## 2 55.00% 7.8
## 3 51.40% 20.1
## 4 9.30% 51.6
## 5 24.80% 5.0
## 6 90.00% 8.8
## 7 54.60% 11.0
## 8 113.10% 3.1
## 9 85.10% 2.9
## 10 27.70% 19.2
## 11 15.10% 8.3
## 12 50.50% 6.1
## 13 20.60% 25.1
## 14 65.40% 11.3
## 15 87.40% 2.6
## 16 79.70% 2.9
## 17 24.70% 11.2
## 18 12.30% 60.5
## 19 15.60% 24.8
## 20 21.8
## 21 23.30% 5.0
## 22 24.90% 30.0
## 23 51.30% 12.8
## 24 31.40% 9.8
## 25 71.00% 5.9
## 26 6.50% 49.0
## 27 6.10% 41.0
## 28 9.30% 59.4
## 29 23.60% 16.7
## 30 13.70% 24.0
## 31 12.80% 50.6
## 32 68.90% 4.3
## 33 3.00% 84.5
## 34 3.30% 71.4
## 35 88.50% 6.2
## 36 50.60% 7.4
## 37 55.30% 12.2
## 38 9.00% 51.3
## 39 12.70% 36.2
## 40 55.20% 7.6
## 41 67.90% 4.0
## 42 41.40% 3.7
## 43 75.90% 1.9
## 44 64.10% 2.7
## 45 6.60% 68.2
## 46 80.60% 3.6
## 47 5.30% 49.8
## 48 59.90% 24.1
## 49 44.90% 12.2
## 50 35.20% 18.1
## 51 29.40% 11.8
## 52 1.90% 62.6
## 53 3.40% 31.3
## 54 69.60% 2.1
## 55 8.10% 39.1
## 56 16.10% 21.6
## 57 88.20% 1.4
## 58 65.60% 3.4
## 59 8.30% 32.7
## 60 2.70% 39.0
## 61 63.90% 8.7
## 62 70.20% 3.1
## 63 15.70% 34.9
## 64 136.60% 3.6
## 65 104.60% 13.7
## 66 21.80% 22.1
## 67 11.60% 64.9
## 68 2.60% 54.0
## 69 11.60% 25.1
## 70 1.10% 49.5
## 71 26.20% 15.1
## 72 48.50% 3.6
## 73 71.80% 1.5
## 74 28.10% 29.9
## 75 36.30% 21.1
## 76 68.10% 12.4
## 77 16.20% 22.5
## 78 77.80% 3.1
## 79 63.40% 3.0
## 80 61.90% 2.6
## 81 27.10% 12.4
## 82 63.20% 1.8
## 83 34.40% 13.9
## 84 61.70% 8.8
## 85 11.50% 30.6
## 86 41.2
## 87 54.40% 6.7
## 88 41.30% 16.9
## 89 15.00% 37.6
## 90 88.10% 3.3
## 91 26.30% 6.4
## 92 10.20% 65.7
## 93 11.90% 53.5
## 94 60.50% 10.2
## 95 72.40% 3.3
## 96 19.20% 1.9
## 97 5.40% 38.2
## 98 0.80% 35.3
## 99 45.10% 6.7
## 100 31.20% 7.4
## 101 4.50% 62.0
## 102 54.30% 6.1
## 103 5.00% 51.5
## 104 40.60% 13.6
## 105 40.20% 11.0
## 106 14.10% 25.6
## 107 39.80% 13.6
## 108 65.60% 14.0
## 109 56.10% 2.3
## 110 35.90% 19.2
## 111 7.30% 54.0
## 112 18.80% 36.8
## 113 22.90% 29.0
## 114 12.40% 26.7
## 115 85.00% 3.3
## 116 82.00% 4.7
## 117 17.40% 15.7
## 118 4.40% 48.0
## 119 10.20% 75.7
## 120 27.00% 13.7
## 121 82.00% 2.1
## 122 38.00% 9.8
## 123 9.00% 57.2
## 124 47.80% 13.1
## 125 1.80% 38.0
## 126 34.60% 17.2
## 127 70.70% 11.1
## 128 35.50% 22.5
## 129 67.80% 3.8
## 130 63.90% 3.1
## 131 17.90% 5.8
## 132 49.40% 6.1
## 133 81.90% 6.1
## 134 6.70% 27.0
## 135 14.10% 14.9
## 136 23.70% 14.8
## 137 7.60% 13.6
## 138 68.00% 6.0
## 139 12.80% 31.8
## 140 67.20% 4.8
## 141 17.10% 12.4
## 142 2.00% 78.5
## 143 84.80% 2.3
## 144 46.60% 4.6
## 145 78.60% 1.7
## 146 17.1
## 147 2.50% 76.6
## 148 22.40% 28.5
## 149 94.30% 2.7
## 150 88.90% 2.5
## 151 19.60% 6.4
## 152 16.90% 42.1
## 153 12.60% 16.9
## 154 67.00% 2.2
## 155 59.60% 3.7
## 156 40.10% 14.0
## 157 31.30% 30.4
## 158 4.00% 37.6
## 159 49.30% 7.8
## 160 17.80% 39.3
## 161 14.50% 47.4
## 162 6.40% 13.4
## 163 12.00% 16.4
## 164 31.70% 14.6
## 165 23.90% 9.1
## 166 8.00% 39.3
## 167 4.80% 33.8
## 168 82.70% 7.5
## 169 36.80% 6.5
## 170 60.00% 3.6
## 171 88.20% 5.6
## 172 63.10% 6.4
## 173 10.10% 19.1
## 174 4.70% 22.3
## 175 79.30% 21.4
## 176 28.50% 16.5
## 177 10.20% 42.9
## 178 4.10% 40.4
## 179 10.00% 33.9
## Largest.city Life.expectancy Maternal.mortality.ratio
## 1 Kabul 64.5 638
## 2 Tirana 78.5 15
## 3 Algiers 76.7 112
## 4 Luanda 60.8 241
## 5 St. John's, Saint John 76.9 42
## 6 Buenos Aires 76.5 39
## 7 Yerevan 74.9 26
## 8 Sydney 82.7 6
## 9 Vienna 81.6 5
## 10 Baku 72.9 26
## 11 Nassau, Bahamas 73.8 70
## 12 Riffa 77.2 14
## 13 Dhaka 72.3 173
## 14 Bridgetown 79.1 27
## 15 Minsk 74.2 2
## 16 Brussels 81.6 5
## 17 Belize City 74.5 36
## 18 Cotonou 61.5 397
## 19 Thimphu 71.5 183
## 20 Santa Cruz de la Sierra 71.2 155
## 21 Tuzla Canton 77.3 10
## 22 Gaborone 69.3 144
## 23 S���� 75.7 60
## 24 75.7 31
## 25 Sofia 74.9 10
## 26 Ouagadougou 61.2 320
## 27 Bujumbura 61.2 548
## 28 Abidjan 57.4 617
## 29 Praia 72.8 58
## 30 Phnom Penh 69.6 160
## 31 Douala 58.9 529
## 32 Toronto 81.9 10
## 33 Bangui 52.8 829
## 34 N'Djamena 54.0 1140
## 35 Santiago 80.0 13
## 36 Shanghai 77.0 29
## 37 Bogot� 77.1 83
## 38 Moroni, Comoros 64.1 273
## 39 Brazzaville 64.3 378
## 40 San Jos������ 80.1 27
## 41 Zagreb 78.1 8
## 42 Havana 78.7 36
## 43 Statos������� 80.8 6
## 44 Prague 79.0 3
## 45 Kinshasa 60.4 473
## 46 Copenhagen 81.0 4
## 47 Djibouti City 66.6 248
## 48 Santo Domingo 73.9 95
## 49 Quito 76.8 59
## 50 Cairo 71.8 37
## 51 San Salvador 73.1 46
## 52 Malabo 58.4 301
## 53 Asmara 65.9 480
## 54 Tallinn 78.2 9
## 55 Addis Ababa 66.2 401
## 56 Suva 67.3 34
## 57 Helsinki 81.7 3
## 58 Paris 82.5 8
## 59 Libreville 66.2 252
## 60 Serekunda 61.7 597
## 61 Tbilisi 73.6 25
## 62 Berlin 80.9 7
## 63 Accra 63.8 308
## 64 Macedonia 81.3 3
## 65 St. George's, Grenada 72.4 25
## 66 Guatemala City 74.1 95
## 67 Kankan 61.2 576
## 68 Bissau 58.0 667
## 69 Georgetown, Guyana 69.8 169
## 70 Port-au-Prince 63.7 480
## 71 Tegucigalpa 75.1 65
## 72 Budapest 75.8 12
## 73 Reykjav�� 82.7 4
## 74 Kurebhar 69.4 145
## 75 Kalimantan 71.5 177
## 76 Tehran 76.5 16
## 77 Baghdad 70.5 79
## 78 Connacht 82.3 5
## 79 Jerusalem 82.8 3
## 80 Rome 82.9 2
## 81 Kingston, Jamaica 74.4 80
## 82 Tokyo 84.2 5
## 83 Amman 74.4 46
## 84 Almaty 73.2 10
## 85 Nairobi 66.3 342
## 86 South Tarawa 68.1 92
## 87 Kuwait City 75.4 12
## 88 Bishkek 71.4 60
## 89 Vientiane 67.6 185
## 90 Riga 74.7 19
## 91 Tripoli, Lebanon 78.9 29
## 92 Maseru 53.7 544
## 93 Monrovia 63.7 661
## 94 72.7 72
## 95 Vilnius 75.7 8
## 96 Luxembourg City 82.1 5
## 97 Antananarivo 66.7 335
## 98 Lilongwe 63.8 349
## 99 Johor Bahru 76.0 29
## 100 Mal� 78.6 53
## 101 Bamako 58.9 562
## 102 Birkirkara 82.3 6
## 103 Nouakchott 64.7 766
## 104 Port Louis 74.4 61
## 105 Mexico City 75.0 33
## 106 Palikir 67.8 88
## 107 Chi���� 71.8 19
## 108 Ulaanbaatar 69.7 45
## 109 Podgorica 76.8 6
## 110 Casablanca 76.5 70
## 111 Maputo 60.2 289
## 112 Yangon 66.9 250
## 113 Windhoek 63.4 195
## 114 Kathmandu 70.5 186
## 115 Amsterdam 81.8 5
## 116 Auckland 81.9 9
## 117 Managua 74.3 98
## 118 Niamey 62.0 509
## 119 Lagos 54.3 917
## 120 Pyongyang 72.1 89
## 121 Oslo 82.8 2
## 122 Seeb 77.6 19
## 123 Karachi 67.1 140
## 124 Panama City 78.3 52
## 125 Port Moresby 64.3 145
## 126 Ciudad del Este 74.1 129
## 127 Lima 76.5 88
## 128 Manila 71.1 121
## 129 Warsaw 77.6 2
## 130 Lisbon 81.3 8
## 131 Doha 80.1 9
## 132 Bucharest 75.4 19
## 133 Moscow 72.7 17
## 134 Kigali 68.7 248
## 135 Castries 76.1 117
## 136 Calliaqua 72.4 68
## 137 Apia 73.2 43
## 138 Riyadh 75.0 17
## 139 Pikine 67.7 315
## 140 Belgrade 75.5 12
## 141 Victoria, Seychelles 72.8 53
## 142 Freetown 54.3 1120
## 143 83.1 8
## 144 Bratislava 77.2 5
## 145 Ljubljana 81.0 7
## 146 Honiara 72.8 104
## 147 Bosaso 57.1 829
## 148 Johannesburg 63.9 119
## 149 Seoul 82.6 11
## 150 Madrid 83.3 4
## 151 Colombo 76.8 36
## 152 Omdurman 65.1 295
## 153 Paramaribo 71.6 120
## 154 S����� 82.5 4
## 155 Z��� 83.6 5
## 156 Damascus 71.8 31
## 157 Dushanbe 70.9 17
## 158 Dar es Salaam 65.0 524
## 159 Bangkok 76.9 37
## 160 Dili 69.3 142
## 161 Lom� 60.8 396
## 162 Nuku���� 70.8 52
## 163 Chaguanas 73.4 67
## 164 Tunis 76.5 43
## 165 Istanbul 77.4 17
## 166 Ashgabat 68.1 7
## 167 Buganda 63.0 375
## 168 Kyiv 71.6 19
## 169 Dubai 77.8 3
## 170 London 81.3 7
## 171 New York City 78.5 19
## 172 Montevideo 77.8 17
## 173 Tashkent 71.6 29
## 174 Port Vila 70.3 72
## 175 Caracas 72.1 125
## 176 Ho Chi Minh City 75.3 43
## 177 Sanaa 66.1 164
## 178 Lusaka 63.5 213
## 179 Harare 61.2 458
## Minimum.wage Official.language Out.of.pocket.health.expenditure
## 1 $0.43 Pashto 78.40%
## 2 $1.12 Albanian 56.90%
## 3 $0.95 Arabic 28.10%
## 4 $0.71 Portuguese 33.40%
## 5 $3.04 English 24.30%
## 6 $3.35 Spanish 17.60%
## 7 $0.66 Armenian 81.60%
## 8 $13.59 None 19.60%
## 9 German 17.90%
## 10 $0.47 Azerbaijani language 78.60%
## 11 $5.25 English 27.80%
## 12 Arabic 25.10%
## 13 $0.51 Bengali 71.80%
## 14 $3.13 English 45.20%
## 15 $1.49 Russian 34.50%
## 16 $10.31 French 17.60%
## 17 $1.65 English 22.70%
## 18 $0.39 French 40.50%
## 19 $0.32 Dzongkha 19.80%
## 20 $1.36 Spanish 25.90%
## 21 $1.04 Bosnian 28.60%
## 22 $0.29 English 5.30%
## 23 $1.53 Portuguese 28.30%
## 24 Malay 6.00%
## 25 $1.57 Bulgarian 47.70%
## 26 $0.34 French 36.10%
## 27 Kirundi 19.10%
## 28 $0.36 French 36.00%
## 29 $0.68 Portuguese 23.20%
## 30 Khmer language 59.40%
## 31 $0.35 French 69.70%
## 32 $9.51 French 14.60%
## 33 $0.37 French 39.60%
## 34 $0.60 French 56.40%
## 35 $2.00 Spanish 32.20%
## 36 $0.87 Standard Chinese 32.40%
## 37 $1.23 Spanish 18.30%
## 38 $0.71 French 74.80%
## 39 $0.88 French 43.80%
## 40 $1.84 Spanish 21.50%
## 41 $2.92 Croatian 15.20%
## 42 $0.05 Spanish
## 43 Greek 43.90%
## 44 $3.00 Czech 14.80%
## 45 $0.18 French 37.40%
## 46 Danish 13.70%
## 47 French 20.40%
## 48 $0.40 Spanish 43.70%
## 49 $2.46 Spanish 43.70%
## 50 Modern Standard Arabic 62.00%
## 51 $0.50 Spanish 27.90%
## 52 $1.05 Spanish 72.00%
## 53 Tigrinya 52.40%
## 54 $3.14 Estonian 22.80%
## 55 Amharic 37.80%
## 56 $1.28 Fiji Hindi 21.40%
## 57 Swedish 19.90%
## 58 $11.16 French 6.80%
## 59 $1.46 French 25.90%
## 60 $0.13 English 20.30%
## 61 $0.05 Georgian 57.30%
## 62 $9.99 German 12.50%
## 63 $0.27 English 36.10%
## 64 $4.46 Greek 35.50%
## 65 English 57.00%
## 66 $1.60 Spanish 55.80%
## 67 French 54.50%
## 68 $0.16 Portuguese 37.20%
## 69 $0.98 English 40.50%
## 70 $0.25 French 36.30%
## 71 $1.01 Spanish 49.10%
## 72 $2.62 Hungarian 29.00%
## 73 Icelandic 17.00%
## 74 $0.30 Hindi 65.10%
## 75 $0.48 Indonesian 48.30%
## 76 $1.58 Persian 39.70%
## 77 $1.24 Arabic 76.50%
## 78 $10.79 Irish 15.20%
## 79 $7.58 Hebrew 24.40%
## 80 Italian 22.80%
## 81 $1.33 Jamaican English 23.70%
## 82 $6.77 None 13.10%
## 83 $1.49 Arabic 25.10%
## 84 $0.41 Russian 38.80%
## 85 $0.25 Swahili 33.40%
## 86 English 0.20%
## 87 $0.95 Modern Standard Arabic 14.40%
## 88 $0.09 Russian 48.20%
## 89 $0.83 Lao 45.40%
## 90 $2.80 Latvian 41.60%
## 91 $2.15 Arabic 32.10%
## 92 $0.41 English 16.90%
## 93 $0.17 English 19.60%
## 94 $1.88 Arabic 36.70%
## 95 $2.41 Lithuanian 32.10%
## 96 $13.05 Luxembourgish 10.60%
## 97 $0.21 French 21.70%
## 98 $0.12 English 11.00%
## 99 $0.93 Malaysian language 36.70%
## 100 Divehi 16.40%
## 101 $0.23 French 46.30%
## 102 $5.07 Maltese 37.10%
## 103 $0.53 Arabic 48.20%
## 104 $0.38 French 50.70%
## 105 $0.49 None 41.40%
## 106 English 2.50%
## 107 $0.31 Romanian 46.20%
## 108 $0.65 Mongolian 39.30%
## 109 $1.23 Montenegrin language 31.80%
## 110 $1.60 Arabic 53.10%
## 111 $0.27 Portuguese 6.80%
## 112 $0.39 Burmese 73.90%
## 113 English 8.30%
## 114 $0.36 Nepali 60.40%
## 115 $10.29 Dutch 12.30%
## 116 $11.49 English 12.60%
## 117 $0.54 Spanish 36.00%
## 118 $0.29 French 52.30%
## 119 $0.54 English 72.20%
## 120 Korean
## 121 Norwegian 14.30%
## 122 $4.33 Arabic 6.40%
## 123 $0.69 Urdu 66.50%
## 124 $1.53 Spanish 30.50%
## 125 $1.16 Tok Pisin 5.80%
## 126 $1.55 Spanish 36.50%
## 127 $1.28 Spanish 30.90%
## 128 $1.12 English 53.50%
## 129 $2.93 Polish 23.20%
## 130 $3.78 Portuguese 27.70%
## 131 Arabic 6.20%
## 132 $2.25 Romanian 21.30%
## 133 $0.53 Russian 36.40%
## 134 Swahili 26.00%
## 135 English 48.40%
## 136 $1.16 English 21.40%
## 137 $0.78 Samoan 11.50%
## 138 $3.85 Arabic 15.00%
## 139 $0.31 French 44.20%
## 140 $1.57 Serbian 40.60%
## 141 $2.00 French 2.50%
## 142 $0.57 English 38.20%
## 143 Malay 36.70%
## 144 $3.11 Slovak 18.40%
## 145 $5.25 Slovene language 12.50%
## 146 $0.40 English 3.30%
## 147 Arabic
## 148 Afrikaans 7.70%
## 149 $6.49 Korean 36.80%
## 150 $5.60 Spanish 24.20%
## 151 $0.35 Tamil 38.40%
## 152 $0.41 Arabic 63.20%
## 153 Dutch 10.10%
## 154 Swedish 15.20%
## 155 German 28.30%
## 156 $1.02 Arabic 53.70%
## 157 $0.23 Persian 63.10%
## 158 $0.09 Swahili 26.10%
## 159 $1.06 Thai 11.80%
## 160 $0.60 Portuguese 10.20%
## 161 $0.34 French 51.00%
## 162 Tongan Language 10.20%
## 163 $2.25 English 37.30%
## 164 $0.47 Arabic 39.80%
## 165 $3.45 Turkish 16.90%
## 166 $0.88 Turkmen 71.10%
## 167 $0.01 Swahili 40.50%
## 168 $0.84 Ukrainian 47.80%
## 169 Arabic 17.80%
## 170 $10.13 English 14.80%
## 171 $7.25 None 11.10%
## 172 $1.66 Spanish 16.20%
## 173 $0.24 Uzbek 42.70%
## 174 $1.56 French 8.90%
## 175 $0.01 Spanish 45.80%
## 176 $0.73 Vietnamese 43.50%
## 177 Arabic 81.00%
## 178 $0.24 English 27.50%
## 179 Shona 25.80%
## Physicians.per.thousand Population
## 1 0.28 38,041,754
## 2 1.20 2,854,191
## 3 1.72 43,053,054
## 4 0.21 31,825,295
## 5 2.76 97,118
## 6 3.96 44,938,712
## 7 4.40 2,957,731
## 8 3.68 25,766,605
## 9 5.17 8,877,067
## 10 3.45 10,023,318
## 11 1.94 389,482
## 12 0.93 1,501,635
## 13 0.58 167,310,838
## 14 2.48 287,025
## 15 5.19 9,466,856
## 16 3.07 11,484,055
## 17 1.12 390,353
## 18 0.08 11,801,151
## 19 0.42 727,145
## 20 1.59 11,513,100
## 21 2.16 3,301,000
## 22 0.37 2,346,179
## 23 2.15 212,559,417
## 24 1.61 433,285
## 25 4.03 6,975,761
## 26 0.08 20,321,378
## 27 0.10 11,530,580
## 28 0.23 25,716,544
## 29 0.77 483,628
## 30 0.17 16,486,542
## 31 0.09 25,876,380
## 32 2.61 36,991,981
## 33 0.06 4,745,185
## 34 0.04 15,946,876
## 35 2.59 18,952,038
## 36 1.98 1,397,715,000
## 37 2.18 50,339,443
## 38 0.27 850,886
## 39 0.12 5,380,508
## 40 2.89 5,047,561
## 41 3.00 4,067,500
## 42 8.42 11,333,483
## 43 1.95 1,198,575
## 44 4.12 10,669,709
## 45 0.07 86,790,567
## 46 4.01 5,818,553
## 47 0.22 973,560
## 48 1.56 10,738,958
## 49 2.04 17,373,662
## 50 0.45 100,388,073
## 51 1.57 6,453,553
## 52 0.40 1,355,986
## 53 0.06 6,333,135
## 54 4.48 1,331,824
## 55 0.08 112,078,730
## 56 0.84 889,953
## 57 3.81 5,520,314
## 58 3.27 67,059,887
## 59 0.68 2,172,579
## 60 0.10 2,347,706
## 61 7.12 3,720,382
## 62 4.25 83,132,799
## 63 0.14 30,792,608
## 64 5.48 10,716,322
## 65 1.41 112,003
## 66 0.35 16,604,026
## 67 0.08 12,771,246
## 68 0.13 1,920,922
## 69 0.80 782,766
## 70 0.23 11,263,077
## 71 0.31 9,746,117
## 72 3.41 9,769,949
## 73 4.08 361,313
## 74 0.86 1,366,417,754
## 75 0.43 270,203,917
## 76 1.58 82,913,906
## 77 0.71 39,309,783
## 78 3.31 5,007,069
## 79 4.62 9,053,300
## 80 3.98 60,297,396
## 81 1.31 2,948,279
## 82 2.41 126,226,568
## 83 2.32 10,101,694
## 84 3.25 18,513,930
## 85 0.16 52,573,973
## 86 0.20 117,606
## 87 2.58 4,207,083
## 88 1.88 6,456,900
## 89 0.37 7,169,455
## 90 3.19 1,912,789
## 91 2.10 6,855,713
## 92 0.07 2,125,268
## 93 0.04 4,937,374
## 94 2.09 6,777,452
## 95 6.35 2,786,844
## 96 3.01 645,397
## 97 0.18 26,969,307
## 98 0.04 18,628,747
## 99 1.51 32,447,385
## 100 4.56 530,953
## 101 0.13 19,658,031
## 102 2.86 502,653
## 103 0.19 4,525,696
## 104 2.53 1,265,711
## 105 2.38 126,014,024
## 106 0.18 113,815
## 107 3.21 2,657,637
## 108 2.86 3,225,167
## 109 2.76 622,137
## 110 0.73 36,910,560
## 111 0.08 30,366,036
## 112 0.68 54,045,420
## 113 0.42 2,494,530
## 114 0.75 28,608,710
## 115 3.61 17,332,850
## 116 3.59 4,841,000
## 117 0.98 6,545,502
## 118 0.04 23,310,715
## 119 0.38 200,963,599
## 120 3.67 25,666,161
## 121 2.92 5,347,896
## 122 2.00 5,266,535
## 123 0.98 216,565,318
## 124 1.57 4,246,439
## 125 0.07 8,776,109
## 126 1.35 7,044,636
## 127 1.27 32,510,453
## 128 0.60 108,116,615
## 129 2.38 37,970,874
## 130 5.12 10,269,417
## 131 2.49 2,832,067
## 132 2.98 19,356,544
## 133 4.01 144,373,535
## 134 0.13 12,626,950
## 135 0.64 182,790
## 136 0.66 100,455
## 137 0.34 202,506
## 138 2.61 34,268,528
## 139 0.07 16,296,364
## 140 3.11 6,944,975
## 141 0.95 97,625
## 142 0.03 7,813,215
## 143 2.29 5,703,569
## 144 3.42 5,454,073
## 145 3.09 2,087,946
## 146 0.19 669,823
## 147 0.02 15,442,905
## 148 0.91 58,558,270
## 149 2.36 51,709,098
## 150 3.87 47,076,781
## 151 1.00 21,803,000
## 152 0.26 42,813,238
## 153 1.21 581,372
## 154 3.98 10,285,453
## 155 4.30 8,574,832
## 156 1.22 17,070,135
## 157 1.70 9,321,018
## 158 0.01 58,005,463
## 159 0.81 69,625,582
## 160 0.72 3,500,000
## 161 0.08 8,082,366
## 162 0.52 100,209
## 163 4.17 1,394,973
## 164 1.30 11,694,719
## 165 1.85 83,429,615
## 166 2.22 5,942,089
## 167 0.17 44,269,594
## 168 2.99 44,385,155
## 169 2.53 9,770,529
## 170 2.81 66,834,405
## 171 2.61 328,239,523
## 172 5.05 3,461,734
## 173 2.37 33,580,650
## 174 0.17 299,882
## 175 1.92 28,515,829
## 176 0.82 96,462,106
## 177 0.31 29,161,922
## 178 1.19 17,861,030
## 179 0.21 14,645,468
## Population..Labor.force.participation.... Tax.revenue.... Total.tax.rate
## 1 48.90% 9.30% 71.40%
## 2 55.70% 18.60% 36.60%
## 3 41.20% 37.20% 66.10%
## 4 77.50% 9.20% 49.10%
## 5 16.50% 43.00%
## 6 61.30% 10.10% 106.30%
## 7 55.60% 20.90% 22.60%
## 8 65.50% 23.00% 47.40%
## 9 60.70% 25.40% 51.40%
## 10 66.50% 13.00% 40.70%
## 11 74.60% 14.80% 33.80%
## 12 73.40% 4.20% 13.80%
## 13 59.00% 8.80% 33.40%
## 14 65.20% 27.50% 35.60%
## 15 64.10% 14.70% 53.30%
## 16 53.60% 24.00% 55.40%
## 17 65.10% 26.30% 31.10%
## 18 70.90% 10.80% 48.90%
## 19 66.70% 16.00% 35.30%
## 20 71.80% 17.00% 83.70%
## 21 46.40% 20.40% 23.70%
## 22 70.80% 19.50% 25.10%
## 23 63.90% 14.20% 65.10%
## 24 64.70% 8.00%
## 25 55.40% 20.20% 28.30%
## 26 66.40% 15.00% 41.30%
## 27 79.20% 13.60% 41.20%
## 28 57.00% 11.80% 50.10%
## 29 60.50% 20.10% 37.50%
## 30 82.30% 17.10% 23.10%
## 31 76.10% 12.80% 57.70%
## 32 65.10% 12.80% 24.50%
## 33 72.00% 8.60% 73.30%
## 34 70.70% 63.50%
## 35 62.60% 18.20% 34.00%
## 36 68.00% 9.40% 59.20%
## 37 68.80% 14.40% 71.20%
## 38 43.30% 219.60%
## 39 69.40% 9.00% 54.30%
## 40 62.10% 13.60% 58.30%
## 41 51.20% 22.00% 20.50%
## 42 53.60%
## 43 63.10% 24.50% 22.40%
## 44 60.60% 14.90% 46.10%
## 45 63.50% 10.70% 50.70%
## 46 62.20% 32.40% 23.80%
## 47 60.20% 37.90%
## 48 64.30% 13.00% 48.80%
## 49 68.00% 34.40%
## 50 46.40% 12.50% 44.40%
## 51 59.10% 18.10% 36.40%
## 52 62.00% 6.10% 79.40%
## 53 78.40% 83.70%
## 54 63.60% 20.90% 47.80%
## 55 79.60% 7.50% 37.70%
## 56 57.60% 24.20% 32.10%
## 57 59.10% 20.80% 36.60%
## 58 55.10% 24.20% 60.70%
## 59 52.90% 10.20% 47.10%
## 60 59.40% 9.40% 48.40%
## 61 68.30% 21.70% 9.90%
## 62 60.80% 11.50% 48.80%
## 63 67.80% 12.60% 55.40%
## 64 51.80% 26.20% 51.90%
## 65 19.40% 47.80%
## 66 62.30% 10.60% 35.20%
## 67 61.50% 10.80% 69.30%
## 68 72.00% 10.30% 45.50%
## 69 56.20% 30.60%
## 70 67.20% 42.70%
## 71 68.80% 17.30% 39.10%
## 72 56.50% 23.00% 37.90%
## 73 75.00% 23.30% 31.90%
## 74 49.30% 11.20% 49.70%
## 75 67.50% 10.20% 30.10%
## 76 44.70% 7.40% 44.70%
## 77 43.00% 2.00% 30.80%
## 78 62.10% 18.30% 26.10%
## 79 64.00% 23.10% 25.30%
## 80 49.60% 24.30% 59.10%
## 81 66.00% 26.80% 35.10%
## 82 61.70% 11.90% 46.70%
## 83 39.30% 15.10% 28.60%
## 84 68.80% 11.70% 28.40%
## 85 74.70% 15.10% 37.20%
## 86 22.00% 32.70%
## 87 73.50% 1.40% 13.00%
## 88 59.80% 18.00% 29.00%
## 89 78.50% 12.90% 24.10%
## 90 61.40% 22.90% 38.10%
## 91 47.00% 15.30% 32.20%
## 92 67.90% 31.60% 13.60%
## 93 76.30% 12.90% 46.20%
## 94 49.70% 32.60%
## 95 61.60% 16.90% 42.60%
## 96 59.30% 26.50% 20.40%
## 97 86.10% 10.20% 38.30%
## 98 76.70% 17.30% 34.50%
## 99 64.30% 12.00% 38.70%
## 100 69.80% 19.50% 30.20%
## 101 70.80% 11.60% 54.50%
## 102 56.50% 26.20% 44.00%
## 103 45.90% 67.00%
## 104 58.30% 19.10% 22.20%
## 105 60.70% 13.10% 55.10%
## 106 25.20% 60.50%
## 107 43.10% 17.70% 38.70%
## 108 59.70% 16.80% 25.70%
## 109 54.40% 22.20%
## 110 45.30% 21.90% 45.80%
## 111 78.10% 0.00% 36.10%
## 112 61.70% 5.40% 31.20%
## 113 59.50% 27.10% 20.70%
## 114 83.80% 20.70% 41.80%
## 115 63.60% 23.00% 41.20%
## 116 69.90% 29.00% 34.60%
## 117 66.40% 15.60% 60.60%
## 118 72.00% 11.80% 47.20%
## 119 52.90% 1.50% 34.80%
## 120 80.40%
## 121 63.80% 23.90% 36.20%
## 122 72.40% 2.50% 27.40%
## 123 52.60% 9.20% 33.90%
## 124 66.60% 37.20%
## 125 47.20% 13.60% 37.10%
## 126 72.10% 10.00% 35.00%
## 127 77.60% 14.30% 36.80%
## 128 59.60% 14.00% 43.10%
## 129 56.70% 17.40% 40.80%
## 130 58.80% 22.80% 39.80%
## 131 86.80% 14.70% 11.30%
## 132 54.70% 14.60% 20.00%
## 133 61.80% 11.40% 46.20%
## 134 83.70% 14.30% 33.20%
## 135 67.10% 18.20% 34.70%
## 136 65.90% 25.40% 37.00%
## 137 43.70% 25.50% 19.30%
## 138 55.90% 8.90% 15.70%
## 139 45.70% 16.30% 44.80%
## 140 54.90% 18.60% 36.60%
## 141 34.10% 30.10%
## 142 57.90% 8.60% 30.70%
## 143 70.50% 13.10% 21.00%
## 144 59.50% 18.70% 49.70%
## 145 58.40% 18.60% 31.00%
## 146 83.80% 29.50% 32.00%
## 147 47.40% 0.00%
## 148 56.00% 27.50% 29.20%
## 149 63.00% 15.60% 33.20%
## 150 57.50% 14.20% 47.00%
## 151 53.90% 11.90% 55.20%
## 152 48.40% 8.00% 45.40%
## 153 51.10% 19.50% 27.90%
## 154 64.60% 27.90% 49.10%
## 155 68.30% 10.10% 28.80%
## 156 44.10% 14.20% 42.70%
## 157 42.00% 9.80% 67.30%
## 158 83.40% 11.50% 43.80%
## 159 67.30% 14.90% 29.50%
## 160 67.30% 25.00% 17.30%
## 161 77.60% 16.90% 48.20%
## 162 59.80% 22.30% 27.50%
## 163 60.00% 19.50% 40.50%
## 164 46.10% 21.10% 60.70%
## 165 52.80% 17.90% 42.30%
## 166 64.50%
## 167 70.30% 11.70% 33.70%
## 168 54.20% 20.10% 45.20%
## 169 82.10% 0.10% 15.90%
## 170 62.80% 25.50% 30.60%
## 171 62.00% 9.60% 36.60%
## 172 64.00% 20.10% 41.80%
## 173 65.10% 14.80% 31.60%
## 174 69.90% 17.80% 8.50%
## 175 59.70% 73.30%
## 176 77.40% 19.10% 37.60%
## 177 38.00% 26.60%
## 178 74.60% 16.20% 15.60%
## 179 83.10% 20.70% 31.60%
## Unemployment.rate Urban_population Latitude Longitude
## 1 11.12% 9,797,273 33.939110 67.709953
## 2 12.33% 1,747,593 41.153332 20.168331
## 3 11.70% 31,510,100 28.033886 1.659626
## 4 6.89% 21,061,025 -11.202692 17.873887
## 5 23,800 17.060816 -61.796428
## 6 9.79% 41,339,571 -38.416097 -63.616672
## 7 16.99% 1,869,848 40.069099 45.038189
## 8 5.27% 21,844,756 -25.274398 133.775136
## 9 4.67% 5,194,416 47.516231 14.550072
## 10 5.51% 5,616,165 40.143105 47.576927
## 11 10.36% 323,784 25.034280 -77.396280
## 12 0.71% 1,467,109 26.066700 50.557700
## 13 4.19% 60,987,417 23.684994 90.356331
## 14 10.33% 89,431 13.193887 -59.543198
## 15 4.59% 7,482,982 53.709807 27.953389
## 16 5.59% 11,259,082 50.503887 4.469936
## 17 6.41% 179,039 17.189877 -88.497650
## 18 2.23% 5,648,149 9.307690 2.315834
## 19 2.34% 317,538 27.514162 90.433601
## 20 3.50% 8,033,035 -16.290154 -63.588653
## 21 18.42% 1,605,144 43.915886 17.679076
## 22 18.19% 1,616,550 -22.328474 24.684866
## 23 12.08% 183,241,641 -14.235004 -51.925280
## 24 9.12% 337,711 4.535277 114.727669
## 25 4.34% 5,256,027 42.733883 25.485830
## 26 6.26% 6,092,349 12.238333 -1.561593
## 27 1.43% 1,541,177 -3.373056 29.918886
## 28 3.32% 13,176,900 7.539989 -5.547080
## 29 12.25% 364,029 16.538800 -23.041800
## 30 0.68% 3,924,621 12.565679 104.990963
## 31 3.38% 14,741,256 7.369722 12.354722
## 32 5.56% 30,628,482 56.130366 -106.346771
## 33 3.68% 1,982,064 6.611111 20.939444
## 34 1.89% 3,712,273 15.454166 18.732207
## 35 7.09% 16,610,135 -35.675147 -71.542969
## 36 4.32% 842,933,962 35.861660 104.195397
## 37 9.71% 40,827,302 4.570868 -74.297333
## 38 4.34% 248,152 -11.645500 43.333300
## 39 9.47% 3,625,010 -0.228021 15.827659
## 40 11.85% 4,041,885 9.748917 -83.753428
## 41 6.93% 2,328,318 45.100000 15.200000
## 42 1.64% 8,739,135 21.521757 -77.781167
## 43 7.27% 800,708 35.126413 33.429859
## 44 1.93% 7,887,156 49.817492 15.472962
## 45 4.24% 39,095,679 -4.038333 21.758664
## 46 4.91% 5,119,978 56.263920 9.501785
## 47 10.30% 758,549 11.825138 42.590275
## 48 5.84% 8,787,475 18.735693 -70.162651
## 49 3.97% 11,116,711 -1.831239 -78.183406
## 50 10.76% 42,895,824 26.820553 30.802498
## 51 4.11% 4,694,702 13.794185 -88.896530
## 52 6.43% 984,812 1.650801 10.267895
## 53 5.14% 1,149,670 15.179384 39.782334
## 54 5.11% 916,024 58.595272 25.013607
## 55 2.08% 23,788,710 9.145000 40.489673
## 56 4.10% 505,048 -17.713371 178.065032
## 57 6.59% 4,716,888 61.924110 25.748151
## 58 8.43% 54,123,364 46.227638 2.213749
## 59 20.00% 1,949,694 -0.803689 11.609444
## 60 9.06% 1,453,958 13.443182 -15.310139
## 61 14.40% 2,196,476 42.315407 43.356892
## 62 3.04% 64,324,835 51.165691 10.451526
## 63 4.33% 17,249,054 7.946527 -1.023194
## 64 17.24% 8,507,474 39.074208 21.824312
## 65 40,765 12.116500 -61.679000
## 66 2.46% 8,540,945 15.783471 -90.230759
## 67 4.30% 4,661,505 9.945587 -9.696645
## 68 2.47% 840,922 11.803749 -15.180413
## 69 11.85% 208,912 4.860416 -58.930180
## 70 13.78% 6,328,948 18.971187 -72.285215
## 71 5.39% 5,626,433 15.199999 -86.241905
## 72 3.40% 6,999,582 47.162494 19.503304
## 73 2.84% 339,110 64.963051 -19.020835
## 74 5.36% 471,031,528 20.593684 78.962880
## 75 4.69% 151,509,724 -0.789275 113.921327
## 76 11.38% 62,509,623 32.427908 53.688046
## 77 12.82% 27,783,368 33.223191 43.679291
## 78 4.93% 3,133,123 53.412910 -8.243890
## 79 3.86% 8,374,393 31.046051 34.851612
## 80 9.89% 42,651,966 41.871940 12.567380
## 81 8.00% 1,650,594 18.109581 -77.297508
## 82 2.29% 115,782,416 36.204824 138.252924
## 83 14.72% 9,213,048 30.585164 36.238414
## 84 4.59% 10,652,915 48.019573 66.923684
## 85 2.64% 14,461,523 -0.023559 37.906193
## 86 64,489 1.836898 -157.376832
## 87 2.18% 4,207,083 29.311660 47.481766
## 88 6.33% 2,362,644 41.204380 74.766098
## 89 0.63% 2,555,552 19.856270 102.495496
## 90 6.52% 1,304,943 56.879635 24.603189
## 91 6.23% 6,084,994 33.854721 35.862285
## 92 23.41% 607,508 -29.609988 28.233608
## 93 2.81% 2,548,426 6.428055 -9.429499
## 94 18.56% 5,448,597 26.335100 17.228331
## 95 6.35% 1,891,013 55.169438 23.881275
## 96 5.36% 565,488 49.815273 6.129583
## 97 1.76% 10,210,849 -18.766947 46.869107
## 98 5.65% 3,199,301 -13.254308 34.301525
## 99 3.32% 24,475,766 4.210484 101.975766
## 100 6.14% 213,645 3.202778 73.220680
## 101 7.22% 8,479,688 17.570692 -3.996166
## 102 3.47% 475,902 35.937496 14.375416
## 103 9.55% 2,466,821 21.007890 -10.940835
## 104 6.67% 515,980 -20.348404 57.552152
## 105 3.42% 102,626,859 23.634501 -102.552784
## 106 25,963 7.425554 150.550812
## 107 5.47% 1,135,502 47.411631 28.369885
## 108 6.01% 2,210,626 46.862496 103.846656
## 109 14.88% 417,765 42.708678 19.374390
## 110 9.02% 22,975,026 31.791702 -7.092620
## 111 3.24% 11,092,106 -18.665695 35.529562
## 112 1.58% 16,674,093 21.916221 95.955974
## 113 20.27% 1,273,258 -22.957640 18.490410
## 114 1.41% 5,765,513 28.394857 84.124008
## 115 3.20% 15,924,729 52.132633 5.291266
## 116 4.07% 4,258,860 -40.900557 174.885971
## 117 6.84% 3,846,137 12.865416 -85.207229
## 118 0.47% 3,850,231 17.607789 8.081666
## 119 8.10% 102,806,948 9.081999 8.675277
## 120 2.74% 15,947,412 40.339852 127.510093
## 121 3.35% 4,418,218 60.472024 8.468946
## 122 2.67% 4,250,777 21.473533 55.975413
## 123 4.45% 79,927,762 30.375321 69.345116
## 124 3.90% 2,890,084 8.537981 -80.782127
## 125 2.46% 1,162,834 -6.314993 143.955550
## 126 4.81% 4,359,150 -23.442503 -58.443832
## 127 3.31% 25,390,339 -9.189967 -75.015152
## 128 2.15% 50,975,903 12.879721 121.774017
## 129 3.47% 22,796,574 51.919438 19.145136
## 130 6.33% 6,753,579 39.399872 -8.224454
## 131 0.09% 2,809,071 25.354826 51.183884
## 132 3.98% 10,468,793 45.943161 24.966760
## 133 4.59% 107,683,889 61.524010 105.318756
## 134 1.03% 2,186,104 -1.940278 29.873888
## 135 20.71% 34,280 13.909444 -60.978893
## 136 18.88% 58,185 12.984305 -61.287228
## 137 8.36% 35,588 -13.759029 -172.104629
## 138 5.93% 28,807,838 23.885942 45.079162
## 139 6.60% 7,765,706 14.497401 -14.452362
## 140 12.69% 3,907,243 44.016521 21.005859
## 141 55,762 -4.679574 55.491977
## 142 4.43% 3,319,366 8.460555 -11.779889
## 143 4.11% 5,703,569 1.352083 103.819836
## 144 5.56% 2,930,419 48.669026 19.699024
## 145 4.20% 1,144,654 46.151241 14.995463
## 146 0.58% 162,164 -9.645710 160.156194
## 147 11.35% 7,034,861 5.152149 46.199616
## 148 28.18% 39,149,717 -30.559482 22.937506
## 149 4.15% 42,106,719 35.907757 127.766922
## 150 13.96% 37,927,409 40.463667 -3.749220
## 151 4.20% 4,052,088 7.873054 80.771797
## 152 16.53% 14,957,233 12.862807 30.217636
## 153 7.33% 384,258 3.919305 -56.027783
## 154 6.48% 9,021,165 60.128161 18.643501
## 155 4.58% 6,332,428 46.818188 8.227512
## 156 8.37% 9,358,019 34.802075 38.996815
## 157 11.02% 2,545,477 38.861034 71.276093
## 158 1.98% 20,011,885 -6.369028 34.888822
## 159 0.75% 35,294,600 15.870032 100.992541
## 160 4.55% 400,182 -8.874217 125.727539
## 161 2.04% 3,414,638 8.619543 0.824782
## 162 1.12% 24,145 -21.178986 -175.198242
## 163 2.69% 741,944 10.691803 -61.222503
## 164 16.02% 8,099,061 33.886917 9.537499
## 165 13.49% 63,097,818 38.963745 35.243322
## 166 3.91% 3,092,738 38.969719 59.556278
## 167 1.84% 10,784,516 1.373333 32.290275
## 168 8.88% 30,835,699 48.379433 31.165580
## 169 2.35% 8,479,744 23.424076 53.847818
## 170 3.85% 55,908,316 55.378051 -3.435973
## 171 14.70% 270,663,028 37.090240 -95.712891
## 172 8.73% 3,303,394 -32.522779 -55.765835
## 173 5.92% 16,935,729 41.377491 64.585262
## 174 4.39% 76,152 -15.376706 166.959158
## 175 8.80% 25,162,368 6.423750 -66.589730
## 176 2.01% 35,332,140 14.058324 108.277199
## 177 12.91% 10,869,523 15.552727 48.516388
## 178 11.43% 7,871,713 -13.133897 27.849332
## 179 4.95% 4,717,305 -19.015438 29.154857##Mengubah tipe data pada kolom yang berbentuk persentase dan dollar menjadi dbl
data_1 <- data %>%
mutate(across(everything(),
~ if (is.character(.) & any(grepl("%|\\$", .))) {
as.numeric(sub("%|\\$", "", .))
} else {
.
}))
glimpse(data_1)## Rows: 179
## Columns: 35
## $ Country <chr> "Afghanistan", "Albania", "A…
## $ Density..P.Km2. <chr> "60", "105", "18", "26", "22…
## $ Abbreviation <chr> "AF", "AL", "DZ", "AO", "AG"…
## $ Agricultural.Land.... <dbl> 58.1, 43.1, 17.4, 47.5, 20.5…
## $ Land.Area.Km2. <chr> "652,230", "28,748", "2,381,…
## $ Armed.Forces.size <chr> "323,000", "9,000", "317,000…
## $ Birth.Rate <dbl> 32.49, 11.78, 24.28, 40.73, …
## $ Calling.Code <int> 93, 355, 213, 244, 1, 54, 37…
## $ Capital.Major.City <chr> "Kabul", "Tirana", "Algiers"…
## $ Co2.Emissions <chr> "8,672", "4,536", "150,006",…
## $ CPI <chr> "149.9", "119.05", "151.36",…
## $ CPI.Change.... <dbl> 2.3, 1.4, 2.0, 17.1, 1.2, 53…
## $ Currency.Code <chr> "AFN", "ALL", "DZD", "AOA", …
## $ Fertility.Rate <dbl> 4.47, 1.62, 3.02, 5.52, 1.99…
## $ Forested.Area.... <dbl> 2.1, 28.1, 0.8, 46.3, 22.3, …
## $ Gasoline.Price <dbl> 0.70, 1.36, 0.28, 0.97, 0.99…
## $ GDP <dbl> 1.910135e+10, 1.527808e+10, …
## $ Gross.primary.education.enrollment.... <dbl> 104.0, 107.0, 109.9, 113.5, …
## $ Gross.tertiary.education.enrollment.... <dbl> 9.7, 55.0, 51.4, 9.3, 24.8, …
## $ Infant.mortality <dbl> 47.9, 7.8, 20.1, 51.6, 5.0, …
## $ Largest.city <chr> "Kabul", "Tirana", "Algiers"…
## $ Life.expectancy <dbl> 64.5, 78.5, 76.7, 60.8, 76.9…
## $ Maternal.mortality.ratio <int> 638, 15, 112, 241, 42, 39, 2…
## $ Minimum.wage <dbl> 0.43, 1.12, 0.95, 0.71, 3.04…
## $ Official.language <chr> "Pashto", "Albanian", "Arabi…
## $ Out.of.pocket.health.expenditure <dbl> 78.4, 56.9, 28.1, 33.4, 24.3…
## $ Physicians.per.thousand <dbl> 0.28, 1.20, 1.72, 0.21, 2.76…
## $ Population <chr> "38,041,754", "2,854,191", "…
## $ Population..Labor.force.participation.... <dbl> 48.9, 55.7, 41.2, 77.5, NA, …
## $ Tax.revenue.... <dbl> 9.3, 18.6, 37.2, 9.2, 16.5, …
## $ Total.tax.rate <dbl> 71.4, 36.6, 66.1, 49.1, 43.0…
## $ Unemployment.rate <dbl> 11.12, 12.33, 11.70, 6.89, N…
## $ Urban_population <chr> "9,797,273", "1,747,593", "3…
## $ Latitude <dbl> 33.939110, 41.153332, 28.033…
## $ Longitude <dbl> 67.709953, 20.168331, 1.6596…##Mengkonversi nilai mata uang dollar menjadi Rupiah dalam bentuk dbl
data <- data %>%
mutate(across(everything(),
~ if (is.character(.) && any(grepl("%|\\$", .))) {
ifelse(grepl("%", .), as.numeric(sub("%", "", .)), as.numeric(sub("\\$", "", .))*15000)
} else {
.
}))## Warning: There were 8 warnings in `mutate()`.
## The first warning was:
## ℹ In argument: `across(...)`.
## Caused by warning in `ifelse()`:
## ! NAs introduced by coercion
## ℹ Run `dplyr::last_dplyr_warnings()` to see the 7 remaining warnings.data## Country Density..P.Km2. Abbreviation
## 1 Afghanistan 60 AF
## 2 Albania 105 AL
## 3 Algeria 18 DZ
## 4 Angola 26 AO
## 5 Antigua and Barbuda 223 AG
## 6 Argentina 17 AR
## 7 Armenia 104 AM
## 8 Australia 3 AU
## 9 Austria 109 AT
## 10 Azerbaijan 123 AZ
## 11 The Bahamas 39 BS
## 12 Bahrain 2,239 BH
## 13 Bangladesh 1,265 BD
## 14 Barbados 668 BB
## 15 Belarus 47 BY
## 16 Belgium 383 BE
## 17 Belize 17 BZ
## 18 Benin 108 BJ
## 19 Bhutan 20 BT
## 20 Bolivia 11 BO
## 21 Bosnia and Herzegovina 64 BA
## 22 Botswana 4 BW
## 23 Brazil 25 BR
## 24 Brunei 83 BN
## 25 Bulgaria 64 BG
## 26 Burkina Faso 76 BF
## 27 Burundi 463 BI
## 28 Ivory Coast 83 CI
## 29 Cape Verde 138 CV
## 30 Cambodia 95 KH
## 31 Cameroon 56 CM
## 32 Canada 4 CA
## 33 Central African Republic 8 CF
## 34 Chad 13 TD
## 35 Chile 26 CL
## 36 China 153 CN
## 37 Colombia 46 CO
## 38 Comoros 467 KM
## 39 Republic of the Congo 16
## 40 Costa Rica 100 CR
## 41 Croatia 73 HR
## 42 Cuba 106 CU
## 43 Cyprus 131 CY
## 44 Czech Republic 139 CZ
## 45 Democratic Republic of the Congo 40 CD
## 46 Denmark 137 DK
## 47 Djibouti 43 DJ
## 48 Dominican Republic 225 DO
## 49 Ecuador 71 EC
## 50 Egypt 103 EG
## 51 El Salvador 313 SV
## 52 Equatorial Guinea 50 GQ
## 53 Eritrea 35 ER
## 54 Estonia 31 EE
## 55 Ethiopia 115 ET
## 56 Fiji 49 FJ
## 57 Finland 18 FI
## 58 France 119 FR
## 59 Gabon 9 GA
## 60 The Gambia 239 GM
## 61 Georgia 57 GE
## 62 Germany 240 DE
## 63 Ghana 137 GH
## 64 Greece 81 GR
## 65 Grenada 331 GD
## 66 Guatemala 167 GT
## 67 Guinea 53 GN
## 68 Guinea-Bissau 70 GW
## 69 Guyana 4 GY
## 70 Haiti 414 HT
## 71 Honduras 89 HN
## 72 Hungary 107 HU
## 73 Iceland 3 IS
## 74 India 464 IN
## 75 Indonesia 151 ID
## 76 Iran 52 IR
## 77 Iraq 93 IQ
## 78 Republic of Ireland 72
## 79 Israel 400 IL
## 80 Italy 206 IT
## 81 Jamaica 273 JM
## 82 Japan 347 JP
## 83 Jordan 115 JO
## 84 Kazakhstan 7 KZ
## 85 Kenya 94 KE
## 86 Kiribati 147 KI
## 87 Kuwait 240 KW
## 88 Kyrgyzstan 34 KG
## 89 Laos 32 LA
## 90 Latvia 30 LV
## 91 Lebanon 667 LB
## 92 Lesotho 71 LS
## 93 Liberia 53 LR
## 94 Libya 4 LY
## 95 Lithuania 43 LT
## 96 Luxembourg 242 LU
## 97 Madagascar 48 MG
## 98 Malawi 203 MW
## 99 Malaysia 99 MY
## 100 Maldives 1,802 MV
## 101 Mali 17 ML
## 102 Malta 1,380 MT
## 103 Mauritania 5 MR
## 104 Mauritius 626 MU
## 105 Mexico 66 MX
## 106 Federated States of Micronesia 784 FM
## 107 Moldova 123 MD
## 108 Mongolia 2 MN
## 109 Montenegro 47 ME
## 110 Morocco 83 MA
## 111 Mozambique 40 MZ
## 112 Myanmar 83 MM
## 113 Namibia 3
## 114 Nepal 203 NP
## 115 Netherlands 508 NL
## 116 New Zealand 18 NZ
## 117 Nicaragua 55 NI
## 118 Niger 19 NE
## 119 Nigeria 226 NG
## 120 North Korea 214 KP
## 121 Norway 15 NO
## 122 Oman 16 OM
## 123 Pakistan 287 PK
## 124 Panama 58 PA
## 125 Papua New Guinea 20 PG
## 126 Paraguay 18 PY
## 127 Peru 26 PE
## 128 Philippines 368 PH
## 129 Poland 124 PL
## 130 Portugal 111 PT
## 131 Qatar 248 QA
## 132 Romania 84 RO
## 133 Russia 9 RU
## 134 Rwanda 525 RW
## 135 Saint Lucia 301 LC
## 136 Saint Vincent and the Grenadines 284 VC
## 137 Samoa 70 WS
## 138 Saudi Arabia 16 SA
## 139 Senegal 87 SN
## 140 Serbia 100 RS
## 141 Seychelles 214 SC
## 142 Sierra Leone 111 SL
## 143 Singapore 8,358 SG
## 144 Slovakia 114 SK
## 145 Slovenia 103 SI
## 146 Solomon Islands 25 SB
## 147 Somalia 25 SO
## 148 South Africa 49 ZA
## 149 South Korea 527 KR
## 150 Spain 94 ES
## 151 Sri Lanka 341 LK
## 152 Sudan 25 SD
## 153 Suriname 4 SR
## 154 Sweden 25 SE
## 155 Switzerland 219 CH
## 156 Syria 95 SY
## 157 Tajikistan 68 TJ
## 158 Tanzania 67 TZ
## 159 Thailand 137 TH
## 160 East Timor 89 TL
## 161 Togo 152 TG
## 162 Tonga 147 TO
## 163 Trinidad and Tobago 273 TT
## 164 Tunisia 76 TN
## 165 Turkey 110 TR
## 166 Turkmenistan 13 TM
## 167 Uganda 229 UG
## 168 Ukraine 75 UA
## 169 United Arab Emirates 118 AE
## 170 United Kingdom 281 GB
## 171 United States 36 US
## 172 Uruguay 20 UY
## 173 Uzbekistan 79 UZ
## 174 Vanuatu 25 VU
## 175 Venezuela 32 VE
## 176 Vietnam 314 VN
## 177 Yemen 56 YE
## 178 Zambia 25 ZM
## 179 Zimbabwe 38 ZW
## Agricultural.Land.... Land.Area.Km2. Armed.Forces.size Birth.Rate
## 1 58.1 652,230 323,000 32.49
## 2 43.1 28,748 9,000 11.78
## 3 17.4 2,381,741 317,000 24.28
## 4 47.5 1,246,700 117,000 40.73
## 5 20.5 443 0 15.33
## 6 54.3 2,780,400 105,000 17.02
## 7 58.9 29,743 49,000 13.99
## 8 48.2 7,741,220 58,000 12.60
## 9 32.4 83,871 21,000 9.70
## 10 57.7 86,600 82,000 14.00
## 11 1.4 13,880 1,000 13.97
## 12 11.1 765 19,000 13.99
## 13 70.6 148,460 221,000 18.18
## 14 23.3 430 1,000 10.65
## 15 42.0 207,600 155,000 9.90
## 16 44.6 30,528 32,000 10.30
## 17 7.0 22,966 2,000 20.79
## 18 33.3 112,622 12,000 36.22
## 19 13.6 38,394 6,000 17.26
## 20 34.8 1,098,581 71,000 21.75
## 21 43.1 51,197 11,000 8.11
## 22 45.6 581,730 9,000 24.82
## 23 33.9 8,515,770 730,000 13.92
## 24 2.7 5,765 8,000 14.90
## 25 46.3 110,879 31,000 8.90
## 26 44.2 274,200 11,000 37.93
## 27 79.2 27,830 31,000 39.01
## 28 64.8 322,463 27,000 35.74
## 29 19.6 4,033 1,000 19.49
## 30 30.9 181,035 191,000 22.46
## 31 20.6 475,440 24,000 35.39
## 32 6.9 9,984,670 72,000 10.10
## 33 8.2 622,984 8,000 35.35
## 34 39.7 1,284,000 35,000 42.17
## 35 21.2 756,096 122,000 12.43
## 36 56.2 9,596,960 2,695,000 10.90
## 37 40.3 1,138,910 481,000 14.88
## 38 71.5 2,235 31.88
## 39 31.1 342,000 12,000 32.86
## 40 34.5 51,100 10,000 13.97
## 41 27.6 56,594 18,000 9.00
## 42 59.9 110,860 76,000 10.17
## 43 12.2 9,251 16,000 10.46
## 44 45.2 78,867 23,000 10.70
## 45 11.6 2,344,858 134,000 41.18
## 46 62.0 43,094 15,000 10.60
## 47 73.4 23,200 13,000 21.47
## 48 48.7 48,670 71,000 19.51
## 49 22.2 283,561 41,000 19.72
## 50 3.8 1,001,450 836,000 26.38
## 51 76.4 21,041 42,000 18.25
## 52 10.1 28,051 1,000 33.24
## 53 75.2 117,600 202,000 30.30
## 54 23.1 45,228 6,000 10.90
## 55 36.3 1,104,300 138,000 32.34
## 56 23.3 18,274 4,000 21.28
## 57 7.5 338,145 25,000 8.60
## 58 52.4 643,801 307,000 11.30
## 59 20.0 267,667 7,000 31.61
## 60 59.8 11,300 1,000 38.54
## 61 34.5 69,700 26,000 13.47
## 62 47.7 357,022 180,000 9.50
## 63 69.0 238,533 16,000 29.41
## 64 47.6 131,957 146,000 8.10
## 65 23.5 349 16.47
## 66 36.0 108,889 43,000 24.56
## 67 59.0 245,857 13,000 36.36
## 68 58.0 36,125 4,000 35.13
## 69 8.6 214,969 3,000 19.97
## 70 66.8 27,750 0 24.35
## 71 28.9 112,090 23,000 21.60
## 72 58.4 93,028 40,000 9.60
## 73 18.7 103,000 0 12.00
## 74 60.4 3,287,263 3,031,000 17.86
## 75 31.5 1,904,569 676,000 18.07
## 76 28.2 1,648,195 563,000 18.78
## 77 21.4 438,317 209,000 29.08
## 78 64.5 70,273 9,000 12.50
## 79 24.6 20,770 178,000 20.80
## 80 43.2 301,340 347,000 7.30
## 81 41.0 10,991 4,000 16.10
## 82 12.3 377,944 261,000 7.40
## 83 12.0 89,342 116,000 21.98
## 84 80.4 2,724,900 71,000 21.77
## 85 48.5 580,367 29,000 28.75
## 86 42.0 811 27.89
## 87 8.4 17,818 25,000 13.94
## 88 55.0 199,951 21,000 27.10
## 89 10.3 236,800 129,000 23.55
## 90 31.1 64,589 6,000 10.00
## 91 64.3 10,400 80,000 17.55
## 92 77.6 30,355 2,000 26.81
## 93 28.0 111,369 2,000 33.04
## 94 8.7 1,759,540 0 18.83
## 95 47.2 65,300 34,000 10.00
## 96 53.7 2,586 2,000 10.30
## 97 71.2 587,041 22,000 32.66
## 98 61.4 118,484 15,000 34.12
## 99 26.3 329,847 136,000 16.75
## 100 26.3 298 5,000 14.20
## 101 33.8 1,240,192 18,000 41.54
## 102 32.4 316 2,000 9.20
## 103 38.5 1,030,700 21,000 33.69
## 104 42.4 2,040 3,000 10.20
## 105 54.6 1,964,375 336,000 17.60
## 106 31.4 702 22.82
## 107 74.2 33,851 7,000 10.10
## 108 71.5 1,564,116 18,000 24.13
## 109 19.0 13,812 12,000 11.73
## 110 68.5 446,550 246,000 18.94
## 111 63.5 799,380 11,000 37.52
## 112 19.5 676,578 513,000 17.55
## 113 47.1 824,292 16,000 28.64
## 114 28.7 147,181 112,000 19.89
## 115 53.3 41,543 41,000 9.70
## 116 40.5 268,838 9,000 11.98
## 117 42.1 130,370 12,000 20.64
## 118 36.1 1,267,000 10,000 46.08
## 119 77.7 923,768 215,000 37.91
## 120 21.8 120,538 1,469,000 13.89
## 121 2.7 323,802 23,000 10.40
## 122 4.6 309,500 47,000 19.19
## 123 47.8 796,095 936,000 28.25
## 124 30.4 75,420 26,000 18.98
## 125 2.6 462,840 4,000 27.07
## 126 55.1 406,752 27,000 20.57
## 127 18.5 1,285,216 158,000 17.95
## 128 41.7 300,000 153,000 20.55
## 129 46.9 312,685 191,000 10.20
## 130 39.5 92,212 52,000 8.50
## 131 5.8 11,586 22,000 9.54
## 132 58.8 238,391 126,000 9.60
## 133 13.3 17,098,240 1,454,000 11.50
## 134 73.4 26,338 35,000 31.70
## 135 17.4 616 12.00
## 136 25.6 389 14.24
## 137 12.4 2,831 24.38
## 138 80.8 2,149,690 252,000 17.80
## 139 46.1 196,722 19,000 34.52
## 140 39.3 77,474 32,000 9.20
## 141 3.4 455 0 17.10
## 142 54.7 71,740 9,000 33.41
## 143 0.9 716 81,000 8.80
## 144 39.2 49,035 16,000 10.60
## 145 30.7 20,273 7,000 9.40
## 146 3.9 28,896 32.44
## 147 70.3 637,657 20,000 41.75
## 148 79.8 1,219,090 80,000 20.51
## 149 17.4 99,720 634,000 6.40
## 150 52.6 505,370 196,000 7.90
## 151 43.7 65,610 317,000 15.83
## 152 28.7 1,861,484 124,000 32.18
## 153 0.6 163,820 2,000 18.54
## 154 7.4 450,295 30,000 11.40
## 155 38.4 41,277 21,000 10.00
## 156 75.8 185,180 239,000 23.69
## 157 34.1 144,100 17,000 30.76
## 158 44.8 947,300 28,000 36.70
## 159 43.3 513,120 455,000 10.34
## 160 25.6 14,874 2,000 29.42
## 161 70.2 56,785 10,000 33.11
## 162 45.8 747 24.30
## 163 10.5 5,128 4,000 12.94
## 164 64.8 163,610 48,000 17.56
## 165 49.8 783,562 512,000 16.03
## 166 72.0 488,100 42,000 23.83
## 167 71.9 241,038 46,000 38.14
## 168 71.7 603,550 297,000 8.70
## 169 5.5 83,600 63,000 10.33
## 170 71.7 243,610 148,000 11.00
## 171 44.4 9,833,517 1,359,000 11.60
## 172 82.6 176,215 22,000 13.86
## 173 62.9 447,400 68,000 23.30
## 174 15.3 12,189 29.60
## 175 24.5 912,050 343,000 17.88
## 176 39.3 331,210 522,000 16.75
## 177 44.6 527,968 40,000 30.45
## 178 32.1 752,618 16,000 36.19
## 179 41.9 390,757 51,000 30.68
## Calling.Code Capital.Major.City Co2.Emissions CPI CPI.Change....
## 1 93 Kabul 8,672 149.9 2.3
## 2 355 Tirana 4,536 119.05 1.4
## 3 213 Algiers 150,006 151.36 2.0
## 4 244 Luanda 34,693 261.73 17.1
## 5 1 St. John's, Saint John 557 113.81 1.2
## 6 54 Buenos Aires 201,348 232.75 53.5
## 7 374 Yerevan 5,156 129.18 1.4
## 8 61 Canberra 375,908 119.8 1.6
## 9 43 Vienna 61,448 118.06 1.5
## 10 994 Baku 37,620 156.32 2.6
## 11 1 Nassau, Bahamas 1,786 116.22 2.5
## 12 973 Manama 31,694 117.59 2.1
## 13 880 Dhaka 84,246 179.68 5.6
## 14 1 Bridgetown 1,276 134.09 4.1
## 15 375 Minsk 58,280 5.6
## 16 32 City of Brussels 96,889 117.11 1.4
## 17 501 Belmopan 568 105.68 -0.9
## 18 229 Porto-Novo 6,476 110.71 -0.9
## 19 975 Thimphu 1,261 167.18 2.7
## 20 591 Sucre 21,606 148.32 1.8
## 21 387 Sarajevo 21,848 104.9 0.6
## 22 267 Gaborone 6,340 149.75 2.8
## 23 55 Bras��� 462,299 167.4 3.7
## 24 673 Bandar Seri Begawan 7,664 99.03 -0.4
## 25 359 Sofia 41,708 114.42 3.1
## 26 226 Ouagadougou 3,418 106.58 -3.2
## 27 257 Bujumbura 495 182.11 -0.7
## 28 225 Yamoussoukro 9,674 111.61 -0.9
## 29 238 Praia 543 110.5 1.1
## 30 855 Phnom Penh 9,919 127.63 2.5
## 31 237 Yaound� 8,291 118.65 2.5
## 32 1 Ottawa 544,894 116.76 1.9
## 33 236 Bangui 297 186.86 37.1
## 34 235 N'Djamena 1,016 117.7 -1.0
## 35 56 Santiago 85,822 131.91 2.6
## 36 86 Beijing 9,893,038 125.08 2.9
## 37 57 Bogot� 97,814 140.95 3.5
## 38 269 Moroni, Comoros 202 103.62 -4.3
## 39 242 Brazzaville 3,282 124.74 2.2
## 40 506 San Jos������ 8,023 128.85 2.1
## 41 385 Zagreb 17,488 109.82 0.8
## 42 53 Havana 28,284 NA
## 43 357 Nicosia 6,626 102.51 0.3
## 44 420 Prague 102,218 116.48 2.8
## 45 243 Kinshasa 2,021 133.85 2.9
## 46 45 Copenhagen 31,786 110.35 0.8
## 47 253 Djibouti City 620 120.25 3.3
## 48 1 Santo Domingo 25,258 135.5 1.8
## 49 593 Quito 41,155 124.14 0.3
## 50 20 Cairo 238,560 288.57 9.2
## 51 503 San Salvador 7,169 111.23 0.1
## 52 240 Malabo 5,655 124.35 1.2
## 53 291 Asmara 711 NA
## 54 372 Tallinn 16,590 122.14 2.3
## 55 251 Addis Ababa 14,870 143.86 15.8
## 56 679 Suva 2,046 132.3 1.8
## 57 358 Helsinki 45,871 112.33 1.0
## 58 33 Paris 303,276 110.05 1.1
## 59 241 Libreville 5,321 122.19 2.1
## 60 220 Banjul 532 172.73 7.1
## 61 995 Tbilisi 10,128 133.61 4.9
## 62 49 Berlin 727,973 112.85 1.4
## 63 233 Accra 16,670 268.36 7.2
## 64 30 Athens 62,434 101.87 0.2
## 65 1 St. George's, Grenada 268 107.43 0.8
## 66 502 Guatemala City 16,777 142.92 3.7
## 67 224 Conakry 2,996 262.95 9.5
## 68 245 Bissau 293 111.65 1.4
## 69 592 Georgetown, Guyana 2,384 116.19 2.1
## 70 509 Port-au-Prince 2,978 179.29 12.5
## 71 504 Tegucigalpa 9,813 150.34 4.4
## 72 36 Budapest 45,537 121.64 3.3
## 73 354 Reykjav�� 2,065 129 3.0
## 74 91 New Delhi 2,407,672 180.44 7.7
## 75 62 Jakarta 563,325 151.18 3.0
## 76 98 Tehran 661,710 550.93 39.9
## 77 964 Baghdad 190,061 119.86 0.4
## 78 353 Dublin 37,711 106.58 0.9
## 79 972 Jerusalem 65,166 108.15 0.8
## 80 39 Rome 320,411 110.62 0.6
## 81 1876 Kingston, Jamaica 8,225 162.47 3.9
## 82 81 Tokyo 1,135,886 105.48 0.5
## 83 962 Amman 25,108 125.6 0.8
## 84 7 Astana 247,207 182.75 5.2
## 85 254 Nairobi 17,910 180.51 4.7
## 86 686 South Tarawa 66 99.55 0.6
## 87 965 Kuwait City 98,734 126.6 1.1
## 88 996 Bishkek 9,787 155.68 1.1
## 89 856 Vientiane 17,763 135.87 3.3
## 90 371 Riga 7,004 116.86 2.8
## 91 961 Beirut 24,796 130.02 3.0
## 92 266 Maseru 2,512 155.86 5.2
## 93 231 Monrovia 1,386 223.13 23.6
## 94 218 50,564 125.71 2.6
## 95 370 Vilnius 12,963 118.38 2.3
## 96 352 Luxembourg City 8,988 115.09 1.7
## 97 261 Antananarivo 3,905 184.33 5.6
## 98 265 Lilongwe 1,298 418.34 9.4
## 99 60 Kuala Lumpur 248,289 121.46 0.7
## 100 960 Mal� 1,445 99.7 0.2
## 101 223 Bamako 3,179 108.73 -1.7
## 102 356 Valletta 1,342 113.45 1.6
## 103 222 Nouakchott 2,739 135.02 2.3
## 104 230 Port Louis 4,349 129.91 0.4
## 105 52 Mexico City 486,406 141.54 3.6
## 106 691 Palikir 143 112.1 0.5
## 107 373 Chi���� 5,115 166.2 4.8
## 108 976 Ulaanbaatar 25,368 195.76 7.3
## 109 382 Podgorica 2,017 116.32 2.6
## 110 212 Rabat 61,276 111.07 0.2
## 111 258 Maputo 7,943 182.31 2.8
## 112 95 Naypyidaw 25,280 168.18 8.8
## 113 264 Windhoek 4,228 157.97 3.7
## 114 977 Kathmandu 9,105 188.73 5.6
## 115 31 Amsterdam 170,780 115.91 2.6
## 116 64 Wellington 34,382 114.24 1.6
## 117 505 Managua 5,592 162.74 5.4
## 118 227 Niamey 2,017 109.32 -2.5
## 119 234 Abuja 120,369 267.51 11.4
## 120 850 Pyongyang 28,284 NA
## 121 47 Oslo 41,023 120.27 2.2
## 122 968 Muscat 63,457 113.53 0.1
## 123 92 Islamabad 201,150 182.32 10.6
## 124 507 Panama City 10,715 122.07 -0.4
## 125 675 Port Moresby 7,536 155.99 3.6
## 126 595 Asunci�� 7,407 143.82 2.8
## 127 51 Lima 57,414 129.78 2.1
## 128 63 Manila 122,287 129.61 2.5
## 129 48 Warsaw 299,037 114.11 2.2
## 130 351 Lisbon 48,742 110.62 0.3
## 131 974 Doha 103,259 115.38 -0.7
## 132 40 Bucharest 69,259 123.78 3.8
## 133 7 Moscow 1,732,027 180.75 4.5
## 134 250 Kigali 1,115 151.09 3.4
## 135 1 Castries 414 110.13 1.9
## 136 1 Kingstown 220 109.67 2.3
## 137 685 Apia 246 117.56 1.0
## 138 966 Riyadh 563,449 118.4 -1.2
## 139 221 Dakar 10,902 109.25 1.8
## 140 381 Belgrade 45,221 144 1.8
## 141 248 Victoria, Seychelles 605 129.96 1.8
## 142 232 Freetown 1,093 234.16 14.8
## 143 65 37,535 114.41 0.6
## 144 421 Bratislava 32,424 115.34 2.7
## 145 386 Ljubljana 12,633 111.05 1.6
## 146 677 Honiara 169 133.06 1.6
## 147 252 Mogadishu 645 NA
## 148 27 Pretoria 476,644 158.93 4.1
## 149 82 Seoul 620,302 115.16 0.4
## 150 34 Madrid 244,002 110.96 0.7
## 151 94 Colombo 23,362 155.53 3.5
## 152 249 Khartoum 20,000 1,344.19 51.0
## 153 597 Paramaribo 1,738 294.66 22.0
## 154 46 Stockholm 43,252 110.51 1.8
## 155 41 Bern 34,477 99.55 0.4
## 156 963 Damascus 28,830 143.2 36.7
## 157 992 Dushanbe 5,310 148.57 6.0
## 158 255 Dodoma 11,973 187.43 3.5
## 159 66 Bangkok 283,763 113.27 0.7
## 160 670 Dili 495 145.38 2.6
## 161 228 Lom� 3,000 113.3 0.7
## 162 676 Nuku���� 128 121.09 7.4
## 163 1 Port of Spain 43,868 141.75 1.0
## 164 216 Tunis 29,937 155.33 6.7
## 165 90 Ankara 372,725 234.44 15.2
## 166 993 Ashgabat 70,630 NA
## 167 256 Kampala 5,680 173.87 2.9
## 168 380 Kyiv 202,250 281.66 7.9
## 169 971 Abu Dhabi 206,324 114.52 -1.9
## 170 44 London 379,025 119.62 1.7
## 171 1 Washington, D.C. 5,006,302 117.24 7.5
## 172 598 Montevideo 6,766 202.92 7.9
## 173 998 Tashkent 91,811 NA
## 174 678 Port Vila 147 117.13 2.8
## 175 58 Caracas 164,175 2,740.27 254.9
## 176 84 Hanoi 192,668 163.52 2.8
## 177 967 Sanaa 10,609 157.58 8.1
## 178 260 Lusaka 5,141 212.31 9.2
## 179 263 Harare 10,983 105.51 0.9
## Currency.Code Fertility.Rate Forested.Area.... Gasoline.Price GDP
## 1 AFN 4.47 2.1 10500 2.865203e+14
## 2 ALL 1.62 28.1 20400 2.291712e+14
## 3 DZD 3.02 0.8 4200 2.549824e+15
## 4 AOA 5.52 46.3 14550 1.419531e+15
## 5 XCD 1.99 22.3 14850 2.591639e+13
## 6 ARS 2.26 9.8 16500 6.744952e+15
## 7 AMD 1.76 11.7 11550 2.050920e+14
## 8 AUD 1.74 16.3 13950 2.089021e+16
## 9 EUR 1.47 46.9 18000 6.694721e+15
## 10 AZN 1.73 14.1 8400 5.881050e+14
## 11 1.75 51.4 13800 1.924050e+14
## 12 BHD 1.99 0.8 6450 5.786110e+14
## 13 BDT 2.04 11.0 16800 4.538569e+15
## 14 BBD 1.62 14.7 27150 7.813500e+13
## 15 BYN 1.45 42.6 9000 9.462069e+14
## 16 EUR 1.62 22.6 21450 7.944101e+15
## 17 BZD 2.31 59.7 16950 2.819420e+13
## 18 XOF 4.84 37.8 10800 2.158606e+14
## 19 1.98 72.5 14700 3.670011e+13
## 20 BOB 2.73 50.3 10650 6.134298e+14
## 21 BAM 1.27 42.7 15750 3.007177e+14
## 22 BWP 2.87 18.9 10650 2.751077e+14
## 23 BRL 1.73 58.9 15300 2.759637e+16
## 24 BND 1.85 72.1 5550 2.020413e+14
## 25 BGN 1.56 35.4 16650 1.290000e+15
## 26 XOF 5.19 19.3 14700 2.361872e+14
## 27 BIF 5.41 10.9 18150 4.518502e+13
## 28 XOF 4.65 32.7 13950 8.818831e+14
## 29 CVE 2.27 22.5 15300 2.972769e+13
## 30 2.50 52.9 13500 4.063408e+14
## 31 XAF 4.57 39.3 15450 5.814070e+14
## 32 CAD 1.50 38.2 12150 2.604638e+16
## 33 4.72 35.6 21150 3.330461e+13
## 34 XAF 5.75 3.8 11700 1.697243e+14
## 35 CLP 1.65 24.3 15450 4.234772e+15
## 36 CNY 1.69 22.4 14400 2.986500e+17
## 37 COP 1.81 52.7 10200 4.857042e+15
## 38 KMF 4.21 19.7 NA 1.778593e+13
## 39 XAF 4.43 65.4 14550 1.623089e+14
## 40 CRC 1.75 54.6 14700 9.266092e+14
## 41 HRK 1.47 34.4 18900 9.062333e+14
## 42 CUP 1.62 31.3 21000 1.500345e+15
## 43 EUR 1.33 18.7 18450 3.684697e+14
## 44 CZK 1.69 34.6 17550 3.697339e+15
## 45 CDF 5.92 67.2 22350 7.097944e+14
## 46 DKK 1.73 14.7 23250 5.221170e+15
## 47 DJF 2.73 0.2 19800 4.978075e+13
## 48 DOP 2.35 41.7 16050 1.334119e+15
## 49 USD 2.43 50.2 9150 1.611535e+15
## 50 EGP 3.33 0.1 6000 4.547627e+15
## 51 2.04 12.6 12450 4.053396e+14
## 52 XAF 4.51 55.5 NA 1.654016e+14
## 53 ERN 4.06 14.9 30000 3.097502e+13
## 54 EUR 1.59 51.3 17100 4.708042e+14
## 55 ETB 4.25 12.5 11250 1.441615e+15
## 56 FJD 2.77 55.9 12300 8.303323e+13
## 57 EUR 1.41 73.1 21750 4.031418e+15
## 58 EUR 1.88 31.2 20850 4.073277e+16
## 59 XAF 3.97 90.0 13800 2.498694e+14
## 60 GMD 5.22 48.4 17700 2.645729e+13
## 61 GEL 2.06 40.6 11400 2.661479e+14
## 62 EUR 1.56 32.7 20850 5.768445e+16
## 63 GHS 3.87 41.2 13800 1.004755e+15
## 64 EUR 1.35 31.7 23100 3.147791e+15
## 65 XCD 2.06 50.0 16800 1.842256e+13
## 66 GTQ 2.87 32.7 11850 1.150656e+15
## 67 GNF 4.70 25.8 13500 2.038542e+14
## 68 XOF 4.48 69.8 NA 2.010584e+13
## 69 GYD 2.46 83.9 13500 6.420665e+13
## 70 HTG 2.94 3.5 12150 1.274847e+14
## 71 HNL 2.46 40.0 14700 3.764309e+14
## 72 HUF 1.54 22.9 17700 2.414507e+15
## 73 ISK 1.71 0.5 25350 3.628205e+14
## 74 INR 2.22 23.8 14550 3.916500e+16
## 75 IDR 2.31 49.9 9450 1.678786e+16
## 76 IRR 2.14 6.6 6000 6.680179e+15
## 77 IQD 3.67 1.9 9150 3.511411e+15
## 78 EUR 1.75 11.0 20550 5.830481e+15
## 79 ILS 3.09 7.7 23550 5.926480e+15
## 80 EUR 1.29 31.8 24150 3.001867e+16
## 81 JMD 1.98 30.9 16650 2.468711e+14
## 82 1.42 68.5 15900 7.622654e+16
## 83 JOD 2.76 1.1 16500 6.561549e+14
## 84 KZT 2.84 1.2 6300 2.702426e+15
## 85 KES 3.49 7.8 14250 1.432546e+15
## 86 AUD 3.57 15.0 NA 2.919708e+12
## 87 KWD 2.08 0.4 5250 2.021418e+15
## 88 KGS 3.30 3.3 8400 1.268193e+14
## 89 LAK 2.67 82.1 13950 2.726076e+14
## 90 EUR 1.60 54.0 17400 5.117580e+14
## 91 LBP 2.09 13.4 11100 8.005056e+14
## 92 3.14 1.6 10500 3.690109e+13
## 93 4.32 43.1 12000 4.605777e+13
## 94 LYD 2.24 0.1 1650 7.811438e+14
## 95 EUR 1.63 34.8 17400 8.132897e+14
## 96 EUR 1.37 35.7 17850 1.066574e+15
## 97 MGA 4.08 21.4 16650 2.112586e+14
## 98 MWK 4.21 33.2 17250 1.150006e+14
## 99 MYR 2.00 67.6 6750 5.470523e+15
## 100 1.87 3.3 24450 8.593873e+13
## 101 XOF 5.88 3.8 16800 2.626521e+14
## 102 EUR 1.23 1.1 20400 2.217923e+14
## 103 MRU 4.56 0.2 16950 1.139063e+14
## 104 MUR 1.41 19.0 16800 2.127067e+14
## 105 MXN 2.13 33.9 10950 1.887430e+16
## 106 USD 3.05 91.9 NA 6.028984e+12
## 107 MDL 1.26 12.6 12000 1.793315e+14
## 108 MNT 2.90 8.0 10800 2.077928e+14
## 109 EUR 1.75 61.5 17400 8.242105e+13
## 110 MAD 2.42 12.6 14850 1.780879e+15
## 111 MZN 4.85 48.0 9750 2.240124e+14
## 112 MMK 2.15 43.6 8100 1.141288e+15
## 113 3.40 8.3 11400 1.854979e+14
## 114 NPR 1.92 25.4 13650 4.596207e+14
## 115 1.59 11.2 25200 1.363606e+16
## 116 NZD 1.71 38.6 21000 3.103931e+15
## 117 NIO 2.40 25.9 13650 1.878137e+14
## 118 XOF 6.91 0.9 13200 1.939222e+14
## 119 NGN 5.39 7.2 6900 6.721806e+15
## 120 KPW 1.90 40.7 8700 4.815000e+14
## 121 NOK 1.56 33.2 26700 6.050045e+15
## 122 OMR 2.89 0.0 6750 1.154746e+15
## 123 PKR 3.51 1.9 11850 4.566000e+15
## 124 2.46 61.9 11100 1.002012e+15
## 125 PGK 3.56 74.1 20400 3.745442e+14
## 126 PYG 2.43 37.7 15600 5.721793e+14
## 127 PEN 2.25 57.7 14850 3.402721e+15
## 128 PHP 2.58 27.8 12900 5.651933e+15
## 129 PLN 1.46 30.9 16050 8.882466e+15
## 130 EUR 1.38 34.6 23100 3.565291e+15
## 131 QAR 1.87 0.0 6000 2.751993e+15
## 132 RON 1.71 30.1 17400 3.751162e+15
## 133 RUB 1.57 49.8 8850 2.549815e+16
## 134 RWF 4.04 19.7 17550 1.518371e+14
## 135 XCD 1.44 33.2 19500 3.183676e+13
## 136 XCD 1.89 69.2 NA 1.238078e+13
## 137 WST 3.88 60.4 13650 1.275983e+13
## 138 SAR 2.32 0.5 3600 1.189450e+16
## 139 XOF 4.63 42.8 17100 3.536713e+14
## 140 RSD 1.49 31.1 17400 7.711375e+14
## 141 SCR 2.41 88.4 NA 2.548265e+13
## 142 SLL 4.26 43.1 16200 5.912211e+13
## 143 SGD 1.14 23.1 18750 5.580938e+15
## 144 EUR 1.52 40.4 19800 1.581335e+15
## 145 EUR 1.60 62.0 19800 8.061324e+14
## 146 SBD 4.40 77.9 NA 2.137611e+13
## 147 SOS 6.07 10.0 21150 7.081091e+13
## 148 ZAR 2.41 7.6 13800 5.271475e+15
## 149 KRW 0.98 63.4 18300 3.043500e+16
## 150 EUR 1.26 36.9 18900 2.091174e+16
## 151 LKR 2.20 32.9 13200 1.260132e+15
## 152 SDG 4.41 8.1 14250 2.835343e+14
## 153 SRD 2.42 98.3 19350 5.977876e+13
## 154 SEK 1.76 68.9 21300 7.962494e+15
## 155 CHF 1.52 31.8 21750 1.054624e+16
## 156 SYP 2.81 2.7 12450 6.060751e+14
## 157 TJS 3.59 3.0 10650 1.217494e+14
## 158 TZS 4.89 51.6 13050 9.476560e+14
## 159 THB 1.53 32.2 10650 8.154750e+15
## 160 USD 4.02 45.4 16500 2.510310e+13
## 161 XOF 4.32 3.1 10650 8.189969e+13
## 162 TOP 3.56 12.5 NA 6.755300e+12
## 163 TTD 1.73 46.0 8100 3.615030e+14
## 164 TND 2.20 6.8 10950 5.819656e+14
## 165 TRY 2.07 15.4 21300 1.131618e+16
## 166 TMT 2.79 8.8 4350 6.114171e+14
## 167 UGX 4.96 9.7 14100 5.158084e+14
## 168 UAH 1.30 16.7 12450 2.306716e+15
## 169 AED 1.41 4.6 7350 6.317134e+15
## 170 GBP 1.68 13.1 21900 4.240670e+16
## 171 USD 1.73 33.9 10650 3.214155e+17
## 172 UYU 1.97 10.7 22500 8.406887e+14
## 173 UZS 2.42 7.5 15450 8.688193e+14
## 174 VUV 3.78 36.1 19650 1.375588e+13
## 175 VED 2.27 52.7 0 7.235390e+15
## 176 VND 2.05 48.1 12000 3.928819e+15
## 177 YER 3.79 1.0 13800 4.037160e+14
## 178 ZMW 4.63 65.2 21000 3.459708e+14
## 179 3.62 35.5 20100 3.216114e+14
## Gross.primary.education.enrollment....
## 1 104.0
## 2 107.0
## 3 109.9
## 4 113.5
## 5 105.0
## 6 109.7
## 7 92.7
## 8 100.3
## 9 103.1
## 10 99.7
## 11 81.4
## 12 99.4
## 13 116.5
## 14 99.4
## 15 100.5
## 16 103.9
## 17 111.7
## 18 122.0
## 19 100.1
## 20 98.2
## 21 NA
## 22 103.2
## 23 115.4
## 24 103.2
## 25 89.3
## 26 96.1
## 27 121.4
## 28 99.8
## 29 104.0
## 30 107.4
## 31 103.4
## 32 100.9
## 33 102.0
## 34 86.8
## 35 101.4
## 36 100.2
## 37 114.5
## 38 99.5
## 39 106.6
## 40 113.3
## 41 96.5
## 42 101.9
## 43 99.3
## 44 100.7
## 45 108.0
## 46 101.3
## 47 75.3
## 48 105.7
## 49 103.3
## 50 106.3
## 51 94.8
## 52 61.8
## 53 68.4
## 54 97.2
## 55 101.0
## 56 106.4
## 57 100.2
## 58 102.5
## 59 139.9
## 60 98.0
## 61 98.6
## 62 104.0
## 63 104.8
## 64 99.6
## 65 106.9
## 66 101.9
## 67 91.5
## 68 118.7
## 69 97.8
## 70 113.6
## 71 91.5
## 72 100.8
## 73 100.4
## 74 113.0
## 75 106.4
## 76 110.7
## 77 108.7
## 78 100.9
## 79 104.9
## 80 101.9
## 81 91.0
## 82 98.8
## 83 81.5
## 84 104.4
## 85 103.2
## 86 101.3
## 87 92.4
## 88 107.6
## 89 102.4
## 90 99.4
## 91 95.1
## 92 120.9
## 93 85.1
## 94 109.0
## 95 103.9
## 96 102.3
## 97 142.5
## 98 142.5
## 99 105.3
## 100 97.1
## 101 75.6
## 102 105.0
## 103 99.9
## 104 101.1
## 105 105.8
## 106 97.2
## 107 90.6
## 108 104.0
## 109 100.0
## 110 113.9
## 111 112.6
## 112 112.3
## 113 124.2
## 114 142.1
## 115 104.2
## 116 100.0
## 117 120.6
## 118 74.7
## 119 84.7
## 120 112.8
## 121 100.3
## 122 103.4
## 123 94.3
## 124 94.4
## 125 108.5
## 126 104.4
## 127 106.9
## 128 107.5
## 129 100.0
## 130 106.2
## 131 103.8
## 132 85.2
## 133 102.6
## 134 133.0
## 135 102.6
## 136 113.4
## 137 110.5
## 138 99.8
## 139 81.0
## 140 100.3
## 141 100.4
## 142 112.8
## 143 100.6
## 144 98.7
## 145 100.4
## 146 106.2
## 147 23.4
## 148 100.9
## 149 98.1
## 150 102.7
## 151 100.2
## 152 76.8
## 153 108.8
## 154 126.6
## 155 105.2
## 156 81.7
## 157 100.9
## 158 94.2
## 159 99.8
## 160 115.3
## 161 123.8
## 162 116.3
## 163 106.2
## 164 115.4
## 165 93.2
## 166 88.4
## 167 102.7
## 168 99.0
## 169 108.4
## 170 101.2
## 171 101.8
## 172 108.5
## 173 104.2
## 174 109.3
## 175 97.2
## 176 110.6
## 177 93.6
## 178 98.7
## 179 109.9
## Gross.tertiary.education.enrollment.... Infant.mortality
## 1 9.7 47.9
## 2 55.0 7.8
## 3 51.4 20.1
## 4 9.3 51.6
## 5 24.8 5.0
## 6 90.0 8.8
## 7 54.6 11.0
## 8 113.1 3.1
## 9 85.1 2.9
## 10 27.7 19.2
## 11 15.1 8.3
## 12 50.5 6.1
## 13 20.6 25.1
## 14 65.4 11.3
## 15 87.4 2.6
## 16 79.7 2.9
## 17 24.7 11.2
## 18 12.3 60.5
## 19 15.6 24.8
## 20 NA 21.8
## 21 23.3 5.0
## 22 24.9 30.0
## 23 51.3 12.8
## 24 31.4 9.8
## 25 71.0 5.9
## 26 6.5 49.0
## 27 6.1 41.0
## 28 9.3 59.4
## 29 23.6 16.7
## 30 13.7 24.0
## 31 12.8 50.6
## 32 68.9 4.3
## 33 3.0 84.5
## 34 3.3 71.4
## 35 88.5 6.2
## 36 50.6 7.4
## 37 55.3 12.2
## 38 9.0 51.3
## 39 12.7 36.2
## 40 55.2 7.6
## 41 67.9 4.0
## 42 41.4 3.7
## 43 75.9 1.9
## 44 64.1 2.7
## 45 6.6 68.2
## 46 80.6 3.6
## 47 5.3 49.8
## 48 59.9 24.1
## 49 44.9 12.2
## 50 35.2 18.1
## 51 29.4 11.8
## 52 1.9 62.6
## 53 3.4 31.3
## 54 69.6 2.1
## 55 8.1 39.1
## 56 16.1 21.6
## 57 88.2 1.4
## 58 65.6 3.4
## 59 8.3 32.7
## 60 2.7 39.0
## 61 63.9 8.7
## 62 70.2 3.1
## 63 15.7 34.9
## 64 136.6 3.6
## 65 104.6 13.7
## 66 21.8 22.1
## 67 11.6 64.9
## 68 2.6 54.0
## 69 11.6 25.1
## 70 1.1 49.5
## 71 26.2 15.1
## 72 48.5 3.6
## 73 71.8 1.5
## 74 28.1 29.9
## 75 36.3 21.1
## 76 68.1 12.4
## 77 16.2 22.5
## 78 77.8 3.1
## 79 63.4 3.0
## 80 61.9 2.6
## 81 27.1 12.4
## 82 63.2 1.8
## 83 34.4 13.9
## 84 61.7 8.8
## 85 11.5 30.6
## 86 NA 41.2
## 87 54.4 6.7
## 88 41.3 16.9
## 89 15.0 37.6
## 90 88.1 3.3
## 91 26.3 6.4
## 92 10.2 65.7
## 93 11.9 53.5
## 94 60.5 10.2
## 95 72.4 3.3
## 96 19.2 1.9
## 97 5.4 38.2
## 98 0.8 35.3
## 99 45.1 6.7
## 100 31.2 7.4
## 101 4.5 62.0
## 102 54.3 6.1
## 103 5.0 51.5
## 104 40.6 13.6
## 105 40.2 11.0
## 106 14.1 25.6
## 107 39.8 13.6
## 108 65.6 14.0
## 109 56.1 2.3
## 110 35.9 19.2
## 111 7.3 54.0
## 112 18.8 36.8
## 113 22.9 29.0
## 114 12.4 26.7
## 115 85.0 3.3
## 116 82.0 4.7
## 117 17.4 15.7
## 118 4.4 48.0
## 119 10.2 75.7
## 120 27.0 13.7
## 121 82.0 2.1
## 122 38.0 9.8
## 123 9.0 57.2
## 124 47.8 13.1
## 125 1.8 38.0
## 126 34.6 17.2
## 127 70.7 11.1
## 128 35.5 22.5
## 129 67.8 3.8
## 130 63.9 3.1
## 131 17.9 5.8
## 132 49.4 6.1
## 133 81.9 6.1
## 134 6.7 27.0
## 135 14.1 14.9
## 136 23.7 14.8
## 137 7.6 13.6
## 138 68.0 6.0
## 139 12.8 31.8
## 140 67.2 4.8
## 141 17.1 12.4
## 142 2.0 78.5
## 143 84.8 2.3
## 144 46.6 4.6
## 145 78.6 1.7
## 146 NA 17.1
## 147 2.5 76.6
## 148 22.4 28.5
## 149 94.3 2.7
## 150 88.9 2.5
## 151 19.6 6.4
## 152 16.9 42.1
## 153 12.6 16.9
## 154 67.0 2.2
## 155 59.6 3.7
## 156 40.1 14.0
## 157 31.3 30.4
## 158 4.0 37.6
## 159 49.3 7.8
## 160 17.8 39.3
## 161 14.5 47.4
## 162 6.4 13.4
## 163 12.0 16.4
## 164 31.7 14.6
## 165 23.9 9.1
## 166 8.0 39.3
## 167 4.8 33.8
## 168 82.7 7.5
## 169 36.8 6.5
## 170 60.0 3.6
## 171 88.2 5.6
## 172 63.1 6.4
## 173 10.1 19.1
## 174 4.7 22.3
## 175 79.3 21.4
## 176 28.5 16.5
## 177 10.2 42.9
## 178 4.1 40.4
## 179 10.0 33.9
## Largest.city Life.expectancy Maternal.mortality.ratio
## 1 Kabul 64.5 638
## 2 Tirana 78.5 15
## 3 Algiers 76.7 112
## 4 Luanda 60.8 241
## 5 St. John's, Saint John 76.9 42
## 6 Buenos Aires 76.5 39
## 7 Yerevan 74.9 26
## 8 Sydney 82.7 6
## 9 Vienna 81.6 5
## 10 Baku 72.9 26
## 11 Nassau, Bahamas 73.8 70
## 12 Riffa 77.2 14
## 13 Dhaka 72.3 173
## 14 Bridgetown 79.1 27
## 15 Minsk 74.2 2
## 16 Brussels 81.6 5
## 17 Belize City 74.5 36
## 18 Cotonou 61.5 397
## 19 Thimphu 71.5 183
## 20 Santa Cruz de la Sierra 71.2 155
## 21 Tuzla Canton 77.3 10
## 22 Gaborone 69.3 144
## 23 S���� 75.7 60
## 24 75.7 31
## 25 Sofia 74.9 10
## 26 Ouagadougou 61.2 320
## 27 Bujumbura 61.2 548
## 28 Abidjan 57.4 617
## 29 Praia 72.8 58
## 30 Phnom Penh 69.6 160
## 31 Douala 58.9 529
## 32 Toronto 81.9 10
## 33 Bangui 52.8 829
## 34 N'Djamena 54.0 1140
## 35 Santiago 80.0 13
## 36 Shanghai 77.0 29
## 37 Bogot� 77.1 83
## 38 Moroni, Comoros 64.1 273
## 39 Brazzaville 64.3 378
## 40 San Jos������ 80.1 27
## 41 Zagreb 78.1 8
## 42 Havana 78.7 36
## 43 Statos������� 80.8 6
## 44 Prague 79.0 3
## 45 Kinshasa 60.4 473
## 46 Copenhagen 81.0 4
## 47 Djibouti City 66.6 248
## 48 Santo Domingo 73.9 95
## 49 Quito 76.8 59
## 50 Cairo 71.8 37
## 51 San Salvador 73.1 46
## 52 Malabo 58.4 301
## 53 Asmara 65.9 480
## 54 Tallinn 78.2 9
## 55 Addis Ababa 66.2 401
## 56 Suva 67.3 34
## 57 Helsinki 81.7 3
## 58 Paris 82.5 8
## 59 Libreville 66.2 252
## 60 Serekunda 61.7 597
## 61 Tbilisi 73.6 25
## 62 Berlin 80.9 7
## 63 Accra 63.8 308
## 64 Macedonia 81.3 3
## 65 St. George's, Grenada 72.4 25
## 66 Guatemala City 74.1 95
## 67 Kankan 61.2 576
## 68 Bissau 58.0 667
## 69 Georgetown, Guyana 69.8 169
## 70 Port-au-Prince 63.7 480
## 71 Tegucigalpa 75.1 65
## 72 Budapest 75.8 12
## 73 Reykjav�� 82.7 4
## 74 Kurebhar 69.4 145
## 75 Kalimantan 71.5 177
## 76 Tehran 76.5 16
## 77 Baghdad 70.5 79
## 78 Connacht 82.3 5
## 79 Jerusalem 82.8 3
## 80 Rome 82.9 2
## 81 Kingston, Jamaica 74.4 80
## 82 Tokyo 84.2 5
## 83 Amman 74.4 46
## 84 Almaty 73.2 10
## 85 Nairobi 66.3 342
## 86 South Tarawa 68.1 92
## 87 Kuwait City 75.4 12
## 88 Bishkek 71.4 60
## 89 Vientiane 67.6 185
## 90 Riga 74.7 19
## 91 Tripoli, Lebanon 78.9 29
## 92 Maseru 53.7 544
## 93 Monrovia 63.7 661
## 94 72.7 72
## 95 Vilnius 75.7 8
## 96 Luxembourg City 82.1 5
## 97 Antananarivo 66.7 335
## 98 Lilongwe 63.8 349
## 99 Johor Bahru 76.0 29
## 100 Mal� 78.6 53
## 101 Bamako 58.9 562
## 102 Birkirkara 82.3 6
## 103 Nouakchott 64.7 766
## 104 Port Louis 74.4 61
## 105 Mexico City 75.0 33
## 106 Palikir 67.8 88
## 107 Chi���� 71.8 19
## 108 Ulaanbaatar 69.7 45
## 109 Podgorica 76.8 6
## 110 Casablanca 76.5 70
## 111 Maputo 60.2 289
## 112 Yangon 66.9 250
## 113 Windhoek 63.4 195
## 114 Kathmandu 70.5 186
## 115 Amsterdam 81.8 5
## 116 Auckland 81.9 9
## 117 Managua 74.3 98
## 118 Niamey 62.0 509
## 119 Lagos 54.3 917
## 120 Pyongyang 72.1 89
## 121 Oslo 82.8 2
## 122 Seeb 77.6 19
## 123 Karachi 67.1 140
## 124 Panama City 78.3 52
## 125 Port Moresby 64.3 145
## 126 Ciudad del Este 74.1 129
## 127 Lima 76.5 88
## 128 Manila 71.1 121
## 129 Warsaw 77.6 2
## 130 Lisbon 81.3 8
## 131 Doha 80.1 9
## 132 Bucharest 75.4 19
## 133 Moscow 72.7 17
## 134 Kigali 68.7 248
## 135 Castries 76.1 117
## 136 Calliaqua 72.4 68
## 137 Apia 73.2 43
## 138 Riyadh 75.0 17
## 139 Pikine 67.7 315
## 140 Belgrade 75.5 12
## 141 Victoria, Seychelles 72.8 53
## 142 Freetown 54.3 1120
## 143 83.1 8
## 144 Bratislava 77.2 5
## 145 Ljubljana 81.0 7
## 146 Honiara 72.8 104
## 147 Bosaso 57.1 829
## 148 Johannesburg 63.9 119
## 149 Seoul 82.6 11
## 150 Madrid 83.3 4
## 151 Colombo 76.8 36
## 152 Omdurman 65.1 295
## 153 Paramaribo 71.6 120
## 154 S����� 82.5 4
## 155 Z��� 83.6 5
## 156 Damascus 71.8 31
## 157 Dushanbe 70.9 17
## 158 Dar es Salaam 65.0 524
## 159 Bangkok 76.9 37
## 160 Dili 69.3 142
## 161 Lom� 60.8 396
## 162 Nuku���� 70.8 52
## 163 Chaguanas 73.4 67
## 164 Tunis 76.5 43
## 165 Istanbul 77.4 17
## 166 Ashgabat 68.1 7
## 167 Buganda 63.0 375
## 168 Kyiv 71.6 19
## 169 Dubai 77.8 3
## 170 London 81.3 7
## 171 New York City 78.5 19
## 172 Montevideo 77.8 17
## 173 Tashkent 71.6 29
## 174 Port Vila 70.3 72
## 175 Caracas 72.1 125
## 176 Ho Chi Minh City 75.3 43
## 177 Sanaa 66.1 164
## 178 Lusaka 63.5 213
## 179 Harare 61.2 458
## Minimum.wage Official.language Out.of.pocket.health.expenditure
## 1 6450 Pashto 78.4
## 2 16800 Albanian 56.9
## 3 14250 Arabic 28.1
## 4 10650 Portuguese 33.4
## 5 45600 English 24.3
## 6 50250 Spanish 17.6
## 7 9900 Armenian 81.6
## 8 203850 None 19.6
## 9 NA German 17.9
## 10 7050 Azerbaijani language 78.6
## 11 78750 English 27.8
## 12 NA Arabic 25.1
## 13 7650 Bengali 71.8
## 14 46950 English 45.2
## 15 22350 Russian 34.5
## 16 154650 French 17.6
## 17 24750 English 22.7
## 18 5850 French 40.5
## 19 4800 Dzongkha 19.8
## 20 20400 Spanish 25.9
## 21 15600 Bosnian 28.6
## 22 4350 English 5.3
## 23 22950 Portuguese 28.3
## 24 NA Malay 6.0
## 25 23550 Bulgarian 47.7
## 26 5100 French 36.1
## 27 NA Kirundi 19.1
## 28 5400 French 36.0
## 29 10200 Portuguese 23.2
## 30 NA Khmer language 59.4
## 31 5250 French 69.7
## 32 142650 French 14.6
## 33 5550 French 39.6
## 34 9000 French 56.4
## 35 30000 Spanish 32.2
## 36 13050 Standard Chinese 32.4
## 37 18450 Spanish 18.3
## 38 10650 French 74.8
## 39 13200 French 43.8
## 40 27600 Spanish 21.5
## 41 43800 Croatian 15.2
## 42 750 Spanish NA
## 43 NA Greek 43.9
## 44 45000 Czech 14.8
## 45 2700 French 37.4
## 46 NA Danish 13.7
## 47 NA French 20.4
## 48 6000 Spanish 43.7
## 49 36900 Spanish 43.7
## 50 NA Modern Standard Arabic 62.0
## 51 7500 Spanish 27.9
## 52 15750 Spanish 72.0
## 53 NA Tigrinya 52.4
## 54 47100 Estonian 22.8
## 55 NA Amharic 37.8
## 56 19200 Fiji Hindi 21.4
## 57 NA Swedish 19.9
## 58 167400 French 6.8
## 59 21900 French 25.9
## 60 1950 English 20.3
## 61 750 Georgian 57.3
## 62 149850 German 12.5
## 63 4050 English 36.1
## 64 66900 Greek 35.5
## 65 NA English 57.0
## 66 24000 Spanish 55.8
## 67 NA French 54.5
## 68 2400 Portuguese 37.2
## 69 14700 English 40.5
## 70 3750 French 36.3
## 71 15150 Spanish 49.1
## 72 39300 Hungarian 29.0
## 73 NA Icelandic 17.0
## 74 4500 Hindi 65.1
## 75 7200 Indonesian 48.3
## 76 23700 Persian 39.7
## 77 18600 Arabic 76.5
## 78 161850 Irish 15.2
## 79 113700 Hebrew 24.4
## 80 NA Italian 22.8
## 81 19950 Jamaican English 23.7
## 82 101550 None 13.1
## 83 22350 Arabic 25.1
## 84 6150 Russian 38.8
## 85 3750 Swahili 33.4
## 86 NA English 0.2
## 87 14250 Modern Standard Arabic 14.4
## 88 1350 Russian 48.2
## 89 12450 Lao 45.4
## 90 42000 Latvian 41.6
## 91 32250 Arabic 32.1
## 92 6150 English 16.9
## 93 2550 English 19.6
## 94 28200 Arabic 36.7
## 95 36150 Lithuanian 32.1
## 96 195750 Luxembourgish 10.6
## 97 3150 French 21.7
## 98 1800 English 11.0
## 99 13950 Malaysian language 36.7
## 100 NA Divehi 16.4
## 101 3450 French 46.3
## 102 76050 Maltese 37.1
## 103 7950 Arabic 48.2
## 104 5700 French 50.7
## 105 7350 None 41.4
## 106 NA English 2.5
## 107 4650 Romanian 46.2
## 108 9750 Mongolian 39.3
## 109 18450 Montenegrin language 31.8
## 110 24000 Arabic 53.1
## 111 4050 Portuguese 6.8
## 112 5850 Burmese 73.9
## 113 NA English 8.3
## 114 5400 Nepali 60.4
## 115 154350 Dutch 12.3
## 116 172350 English 12.6
## 117 8100 Spanish 36.0
## 118 4350 French 52.3
## 119 8100 English 72.2
## 120 NA Korean NA
## 121 NA Norwegian 14.3
## 122 64950 Arabic 6.4
## 123 10350 Urdu 66.5
## 124 22950 Spanish 30.5
## 125 17400 Tok Pisin 5.8
## 126 23250 Spanish 36.5
## 127 19200 Spanish 30.9
## 128 16800 English 53.5
## 129 43950 Polish 23.2
## 130 56700 Portuguese 27.7
## 131 NA Arabic 6.2
## 132 33750 Romanian 21.3
## 133 7950 Russian 36.4
## 134 NA Swahili 26.0
## 135 NA English 48.4
## 136 17400 English 21.4
## 137 11700 Samoan 11.5
## 138 57750 Arabic 15.0
## 139 4650 French 44.2
## 140 23550 Serbian 40.6
## 141 30000 French 2.5
## 142 8550 English 38.2
## 143 NA Malay 36.7
## 144 46650 Slovak 18.4
## 145 78750 Slovene language 12.5
## 146 6000 English 3.3
## 147 NA Arabic NA
## 148 NA Afrikaans 7.7
## 149 97350 Korean 36.8
## 150 84000 Spanish 24.2
## 151 5250 Tamil 38.4
## 152 6150 Arabic 63.2
## 153 NA Dutch 10.1
## 154 NA Swedish 15.2
## 155 NA German 28.3
## 156 15300 Arabic 53.7
## 157 3450 Persian 63.1
## 158 1350 Swahili 26.1
## 159 15900 Thai 11.8
## 160 9000 Portuguese 10.2
## 161 5100 French 51.0
## 162 NA Tongan Language 10.2
## 163 33750 English 37.3
## 164 7050 Arabic 39.8
## 165 51750 Turkish 16.9
## 166 13200 Turkmen 71.1
## 167 150 Swahili 40.5
## 168 12600 Ukrainian 47.8
## 169 NA Arabic 17.8
## 170 151950 English 14.8
## 171 108750 None 11.1
## 172 24900 Spanish 16.2
## 173 3600 Uzbek 42.7
## 174 23400 French 8.9
## 175 150 Spanish 45.8
## 176 10950 Vietnamese 43.5
## 177 NA Arabic 81.0
## 178 3600 English 27.5
## 179 NA Shona 25.8
## Physicians.per.thousand Population
## 1 0.28 38,041,754
## 2 1.20 2,854,191
## 3 1.72 43,053,054
## 4 0.21 31,825,295
## 5 2.76 97,118
## 6 3.96 44,938,712
## 7 4.40 2,957,731
## 8 3.68 25,766,605
## 9 5.17 8,877,067
## 10 3.45 10,023,318
## 11 1.94 389,482
## 12 0.93 1,501,635
## 13 0.58 167,310,838
## 14 2.48 287,025
## 15 5.19 9,466,856
## 16 3.07 11,484,055
## 17 1.12 390,353
## 18 0.08 11,801,151
## 19 0.42 727,145
## 20 1.59 11,513,100
## 21 2.16 3,301,000
## 22 0.37 2,346,179
## 23 2.15 212,559,417
## 24 1.61 433,285
## 25 4.03 6,975,761
## 26 0.08 20,321,378
## 27 0.10 11,530,580
## 28 0.23 25,716,544
## 29 0.77 483,628
## 30 0.17 16,486,542
## 31 0.09 25,876,380
## 32 2.61 36,991,981
## 33 0.06 4,745,185
## 34 0.04 15,946,876
## 35 2.59 18,952,038
## 36 1.98 1,397,715,000
## 37 2.18 50,339,443
## 38 0.27 850,886
## 39 0.12 5,380,508
## 40 2.89 5,047,561
## 41 3.00 4,067,500
## 42 8.42 11,333,483
## 43 1.95 1,198,575
## 44 4.12 10,669,709
## 45 0.07 86,790,567
## 46 4.01 5,818,553
## 47 0.22 973,560
## 48 1.56 10,738,958
## 49 2.04 17,373,662
## 50 0.45 100,388,073
## 51 1.57 6,453,553
## 52 0.40 1,355,986
## 53 0.06 6,333,135
## 54 4.48 1,331,824
## 55 0.08 112,078,730
## 56 0.84 889,953
## 57 3.81 5,520,314
## 58 3.27 67,059,887
## 59 0.68 2,172,579
## 60 0.10 2,347,706
## 61 7.12 3,720,382
## 62 4.25 83,132,799
## 63 0.14 30,792,608
## 64 5.48 10,716,322
## 65 1.41 112,003
## 66 0.35 16,604,026
## 67 0.08 12,771,246
## 68 0.13 1,920,922
## 69 0.80 782,766
## 70 0.23 11,263,077
## 71 0.31 9,746,117
## 72 3.41 9,769,949
## 73 4.08 361,313
## 74 0.86 1,366,417,754
## 75 0.43 270,203,917
## 76 1.58 82,913,906
## 77 0.71 39,309,783
## 78 3.31 5,007,069
## 79 4.62 9,053,300
## 80 3.98 60,297,396
## 81 1.31 2,948,279
## 82 2.41 126,226,568
## 83 2.32 10,101,694
## 84 3.25 18,513,930
## 85 0.16 52,573,973
## 86 0.20 117,606
## 87 2.58 4,207,083
## 88 1.88 6,456,900
## 89 0.37 7,169,455
## 90 3.19 1,912,789
## 91 2.10 6,855,713
## 92 0.07 2,125,268
## 93 0.04 4,937,374
## 94 2.09 6,777,452
## 95 6.35 2,786,844
## 96 3.01 645,397
## 97 0.18 26,969,307
## 98 0.04 18,628,747
## 99 1.51 32,447,385
## 100 4.56 530,953
## 101 0.13 19,658,031
## 102 2.86 502,653
## 103 0.19 4,525,696
## 104 2.53 1,265,711
## 105 2.38 126,014,024
## 106 0.18 113,815
## 107 3.21 2,657,637
## 108 2.86 3,225,167
## 109 2.76 622,137
## 110 0.73 36,910,560
## 111 0.08 30,366,036
## 112 0.68 54,045,420
## 113 0.42 2,494,530
## 114 0.75 28,608,710
## 115 3.61 17,332,850
## 116 3.59 4,841,000
## 117 0.98 6,545,502
## 118 0.04 23,310,715
## 119 0.38 200,963,599
## 120 3.67 25,666,161
## 121 2.92 5,347,896
## 122 2.00 5,266,535
## 123 0.98 216,565,318
## 124 1.57 4,246,439
## 125 0.07 8,776,109
## 126 1.35 7,044,636
## 127 1.27 32,510,453
## 128 0.60 108,116,615
## 129 2.38 37,970,874
## 130 5.12 10,269,417
## 131 2.49 2,832,067
## 132 2.98 19,356,544
## 133 4.01 144,373,535
## 134 0.13 12,626,950
## 135 0.64 182,790
## 136 0.66 100,455
## 137 0.34 202,506
## 138 2.61 34,268,528
## 139 0.07 16,296,364
## 140 3.11 6,944,975
## 141 0.95 97,625
## 142 0.03 7,813,215
## 143 2.29 5,703,569
## 144 3.42 5,454,073
## 145 3.09 2,087,946
## 146 0.19 669,823
## 147 0.02 15,442,905
## 148 0.91 58,558,270
## 149 2.36 51,709,098
## 150 3.87 47,076,781
## 151 1.00 21,803,000
## 152 0.26 42,813,238
## 153 1.21 581,372
## 154 3.98 10,285,453
## 155 4.30 8,574,832
## 156 1.22 17,070,135
## 157 1.70 9,321,018
## 158 0.01 58,005,463
## 159 0.81 69,625,582
## 160 0.72 3,500,000
## 161 0.08 8,082,366
## 162 0.52 100,209
## 163 4.17 1,394,973
## 164 1.30 11,694,719
## 165 1.85 83,429,615
## 166 2.22 5,942,089
## 167 0.17 44,269,594
## 168 2.99 44,385,155
## 169 2.53 9,770,529
## 170 2.81 66,834,405
## 171 2.61 328,239,523
## 172 5.05 3,461,734
## 173 2.37 33,580,650
## 174 0.17 299,882
## 175 1.92 28,515,829
## 176 0.82 96,462,106
## 177 0.31 29,161,922
## 178 1.19 17,861,030
## 179 0.21 14,645,468
## Population..Labor.force.participation.... Tax.revenue.... Total.tax.rate
## 1 48.9 9.3 71.4
## 2 55.7 18.6 36.6
## 3 41.2 37.2 66.1
## 4 77.5 9.2 49.1
## 5 NA 16.5 43.0
## 6 61.3 10.1 106.3
## 7 55.6 20.9 22.6
## 8 65.5 23.0 47.4
## 9 60.7 25.4 51.4
## 10 66.5 13.0 40.7
## 11 74.6 14.8 33.8
## 12 73.4 4.2 13.8
## 13 59.0 8.8 33.4
## 14 65.2 27.5 35.6
## 15 64.1 14.7 53.3
## 16 53.6 24.0 55.4
## 17 65.1 26.3 31.1
## 18 70.9 10.8 48.9
## 19 66.7 16.0 35.3
## 20 71.8 17.0 83.7
## 21 46.4 20.4 23.7
## 22 70.8 19.5 25.1
## 23 63.9 14.2 65.1
## 24 64.7 NA 8.0
## 25 55.4 20.2 28.3
## 26 66.4 15.0 41.3
## 27 79.2 13.6 41.2
## 28 57.0 11.8 50.1
## 29 60.5 20.1 37.5
## 30 82.3 17.1 23.1
## 31 76.1 12.8 57.7
## 32 65.1 12.8 24.5
## 33 72.0 8.6 73.3
## 34 70.7 NA 63.5
## 35 62.6 18.2 34.0
## 36 68.0 9.4 59.2
## 37 68.8 14.4 71.2
## 38 43.3 NA 219.6
## 39 69.4 9.0 54.3
## 40 62.1 13.6 58.3
## 41 51.2 22.0 20.5
## 42 53.6 NA NA
## 43 63.1 24.5 22.4
## 44 60.6 14.9 46.1
## 45 63.5 10.7 50.7
## 46 62.2 32.4 23.8
## 47 60.2 NA 37.9
## 48 64.3 13.0 48.8
## 49 68.0 NA 34.4
## 50 46.4 12.5 44.4
## 51 59.1 18.1 36.4
## 52 62.0 6.1 79.4
## 53 78.4 NA 83.7
## 54 63.6 20.9 47.8
## 55 79.6 7.5 37.7
## 56 57.6 24.2 32.1
## 57 59.1 20.8 36.6
## 58 55.1 24.2 60.7
## 59 52.9 10.2 47.1
## 60 59.4 9.4 48.4
## 61 68.3 21.7 9.9
## 62 60.8 11.5 48.8
## 63 67.8 12.6 55.4
## 64 51.8 26.2 51.9
## 65 NA 19.4 47.8
## 66 62.3 10.6 35.2
## 67 61.5 10.8 69.3
## 68 72.0 10.3 45.5
## 69 56.2 NA 30.6
## 70 67.2 NA 42.7
## 71 68.8 17.3 39.1
## 72 56.5 23.0 37.9
## 73 75.0 23.3 31.9
## 74 49.3 11.2 49.7
## 75 67.5 10.2 30.1
## 76 44.7 7.4 44.7
## 77 43.0 2.0 30.8
## 78 62.1 18.3 26.1
## 79 64.0 23.1 25.3
## 80 49.6 24.3 59.1
## 81 66.0 26.8 35.1
## 82 61.7 11.9 46.7
## 83 39.3 15.1 28.6
## 84 68.8 11.7 28.4
## 85 74.7 15.1 37.2
## 86 NA 22.0 32.7
## 87 73.5 1.4 13.0
## 88 59.8 18.0 29.0
## 89 78.5 12.9 24.1
## 90 61.4 22.9 38.1
## 91 47.0 15.3 32.2
## 92 67.9 31.6 13.6
## 93 76.3 12.9 46.2
## 94 49.7 NA 32.6
## 95 61.6 16.9 42.6
## 96 59.3 26.5 20.4
## 97 86.1 10.2 38.3
## 98 76.7 17.3 34.5
## 99 64.3 12.0 38.7
## 100 69.8 19.5 30.2
## 101 70.8 11.6 54.5
## 102 56.5 26.2 44.0
## 103 45.9 NA 67.0
## 104 58.3 19.1 22.2
## 105 60.7 13.1 55.1
## 106 NA 25.2 60.5
## 107 43.1 17.7 38.7
## 108 59.7 16.8 25.7
## 109 54.4 NA 22.2
## 110 45.3 21.9 45.8
## 111 78.1 0.0 36.1
## 112 61.7 5.4 31.2
## 113 59.5 27.1 20.7
## 114 83.8 20.7 41.8
## 115 63.6 23.0 41.2
## 116 69.9 29.0 34.6
## 117 66.4 15.6 60.6
## 118 72.0 11.8 47.2
## 119 52.9 1.5 34.8
## 120 80.4 NA NA
## 121 63.8 23.9 36.2
## 122 72.4 2.5 27.4
## 123 52.6 9.2 33.9
## 124 66.6 NA 37.2
## 125 47.2 13.6 37.1
## 126 72.1 10.0 35.0
## 127 77.6 14.3 36.8
## 128 59.6 14.0 43.1
## 129 56.7 17.4 40.8
## 130 58.8 22.8 39.8
## 131 86.8 14.7 11.3
## 132 54.7 14.6 20.0
## 133 61.8 11.4 46.2
## 134 83.7 14.3 33.2
## 135 67.1 18.2 34.7
## 136 65.9 25.4 37.0
## 137 43.7 25.5 19.3
## 138 55.9 8.9 15.7
## 139 45.7 16.3 44.8
## 140 54.9 18.6 36.6
## 141 NA 34.1 30.1
## 142 57.9 8.6 30.7
## 143 70.5 13.1 21.0
## 144 59.5 18.7 49.7
## 145 58.4 18.6 31.0
## 146 83.8 29.5 32.0
## 147 47.4 0.0 NA
## 148 56.0 27.5 29.2
## 149 63.0 15.6 33.2
## 150 57.5 14.2 47.0
## 151 53.9 11.9 55.2
## 152 48.4 8.0 45.4
## 153 51.1 19.5 27.9
## 154 64.6 27.9 49.1
## 155 68.3 10.1 28.8
## 156 44.1 14.2 42.7
## 157 42.0 9.8 67.3
## 158 83.4 11.5 43.8
## 159 67.3 14.9 29.5
## 160 67.3 25.0 17.3
## 161 77.6 16.9 48.2
## 162 59.8 22.3 27.5
## 163 60.0 19.5 40.5
## 164 46.1 21.1 60.7
## 165 52.8 17.9 42.3
## 166 64.5 NA NA
## 167 70.3 11.7 33.7
## 168 54.2 20.1 45.2
## 169 82.1 0.1 15.9
## 170 62.8 25.5 30.6
## 171 62.0 9.6 36.6
## 172 64.0 20.1 41.8
## 173 65.1 14.8 31.6
## 174 69.9 17.8 8.5
## 175 59.7 NA 73.3
## 176 77.4 19.1 37.6
## 177 38.0 NA 26.6
## 178 74.6 16.2 15.6
## 179 83.1 20.7 31.6
## Unemployment.rate Urban_population Latitude Longitude
## 1 11.12 9,797,273 33.939110 67.709953
## 2 12.33 1,747,593 41.153332 20.168331
## 3 11.70 31,510,100 28.033886 1.659626
## 4 6.89 21,061,025 -11.202692 17.873887
## 5 NA 23,800 17.060816 -61.796428
## 6 9.79 41,339,571 -38.416097 -63.616672
## 7 16.99 1,869,848 40.069099 45.038189
## 8 5.27 21,844,756 -25.274398 133.775136
## 9 4.67 5,194,416 47.516231 14.550072
## 10 5.51 5,616,165 40.143105 47.576927
## 11 10.36 323,784 25.034280 -77.396280
## 12 0.71 1,467,109 26.066700 50.557700
## 13 4.19 60,987,417 23.684994 90.356331
## 14 10.33 89,431 13.193887 -59.543198
## 15 4.59 7,482,982 53.709807 27.953389
## 16 5.59 11,259,082 50.503887 4.469936
## 17 6.41 179,039 17.189877 -88.497650
## 18 2.23 5,648,149 9.307690 2.315834
## 19 2.34 317,538 27.514162 90.433601
## 20 3.50 8,033,035 -16.290154 -63.588653
## 21 18.42 1,605,144 43.915886 17.679076
## 22 18.19 1,616,550 -22.328474 24.684866
## 23 12.08 183,241,641 -14.235004 -51.925280
## 24 9.12 337,711 4.535277 114.727669
## 25 4.34 5,256,027 42.733883 25.485830
## 26 6.26 6,092,349 12.238333 -1.561593
## 27 1.43 1,541,177 -3.373056 29.918886
## 28 3.32 13,176,900 7.539989 -5.547080
## 29 12.25 364,029 16.538800 -23.041800
## 30 0.68 3,924,621 12.565679 104.990963
## 31 3.38 14,741,256 7.369722 12.354722
## 32 5.56 30,628,482 56.130366 -106.346771
## 33 3.68 1,982,064 6.611111 20.939444
## 34 1.89 3,712,273 15.454166 18.732207
## 35 7.09 16,610,135 -35.675147 -71.542969
## 36 4.32 842,933,962 35.861660 104.195397
## 37 9.71 40,827,302 4.570868 -74.297333
## 38 4.34 248,152 -11.645500 43.333300
## 39 9.47 3,625,010 -0.228021 15.827659
## 40 11.85 4,041,885 9.748917 -83.753428
## 41 6.93 2,328,318 45.100000 15.200000
## 42 1.64 8,739,135 21.521757 -77.781167
## 43 7.27 800,708 35.126413 33.429859
## 44 1.93 7,887,156 49.817492 15.472962
## 45 4.24 39,095,679 -4.038333 21.758664
## 46 4.91 5,119,978 56.263920 9.501785
## 47 10.30 758,549 11.825138 42.590275
## 48 5.84 8,787,475 18.735693 -70.162651
## 49 3.97 11,116,711 -1.831239 -78.183406
## 50 10.76 42,895,824 26.820553 30.802498
## 51 4.11 4,694,702 13.794185 -88.896530
## 52 6.43 984,812 1.650801 10.267895
## 53 5.14 1,149,670 15.179384 39.782334
## 54 5.11 916,024 58.595272 25.013607
## 55 2.08 23,788,710 9.145000 40.489673
## 56 4.10 505,048 -17.713371 178.065032
## 57 6.59 4,716,888 61.924110 25.748151
## 58 8.43 54,123,364 46.227638 2.213749
## 59 20.00 1,949,694 -0.803689 11.609444
## 60 9.06 1,453,958 13.443182 -15.310139
## 61 14.40 2,196,476 42.315407 43.356892
## 62 3.04 64,324,835 51.165691 10.451526
## 63 4.33 17,249,054 7.946527 -1.023194
## 64 17.24 8,507,474 39.074208 21.824312
## 65 NA 40,765 12.116500 -61.679000
## 66 2.46 8,540,945 15.783471 -90.230759
## 67 4.30 4,661,505 9.945587 -9.696645
## 68 2.47 840,922 11.803749 -15.180413
## 69 11.85 208,912 4.860416 -58.930180
## 70 13.78 6,328,948 18.971187 -72.285215
## 71 5.39 5,626,433 15.199999 -86.241905
## 72 3.40 6,999,582 47.162494 19.503304
## 73 2.84 339,110 64.963051 -19.020835
## 74 5.36 471,031,528 20.593684 78.962880
## 75 4.69 151,509,724 -0.789275 113.921327
## 76 11.38 62,509,623 32.427908 53.688046
## 77 12.82 27,783,368 33.223191 43.679291
## 78 4.93 3,133,123 53.412910 -8.243890
## 79 3.86 8,374,393 31.046051 34.851612
## 80 9.89 42,651,966 41.871940 12.567380
## 81 8.00 1,650,594 18.109581 -77.297508
## 82 2.29 115,782,416 36.204824 138.252924
## 83 14.72 9,213,048 30.585164 36.238414
## 84 4.59 10,652,915 48.019573 66.923684
## 85 2.64 14,461,523 -0.023559 37.906193
## 86 NA 64,489 1.836898 -157.376832
## 87 2.18 4,207,083 29.311660 47.481766
## 88 6.33 2,362,644 41.204380 74.766098
## 89 0.63 2,555,552 19.856270 102.495496
## 90 6.52 1,304,943 56.879635 24.603189
## 91 6.23 6,084,994 33.854721 35.862285
## 92 23.41 607,508 -29.609988 28.233608
## 93 2.81 2,548,426 6.428055 -9.429499
## 94 18.56 5,448,597 26.335100 17.228331
## 95 6.35 1,891,013 55.169438 23.881275
## 96 5.36 565,488 49.815273 6.129583
## 97 1.76 10,210,849 -18.766947 46.869107
## 98 5.65 3,199,301 -13.254308 34.301525
## 99 3.32 24,475,766 4.210484 101.975766
## 100 6.14 213,645 3.202778 73.220680
## 101 7.22 8,479,688 17.570692 -3.996166
## 102 3.47 475,902 35.937496 14.375416
## 103 9.55 2,466,821 21.007890 -10.940835
## 104 6.67 515,980 -20.348404 57.552152
## 105 3.42 102,626,859 23.634501 -102.552784
## 106 NA 25,963 7.425554 150.550812
## 107 5.47 1,135,502 47.411631 28.369885
## 108 6.01 2,210,626 46.862496 103.846656
## 109 14.88 417,765 42.708678 19.374390
## 110 9.02 22,975,026 31.791702 -7.092620
## 111 3.24 11,092,106 -18.665695 35.529562
## 112 1.58 16,674,093 21.916221 95.955974
## 113 20.27 1,273,258 -22.957640 18.490410
## 114 1.41 5,765,513 28.394857 84.124008
## 115 3.20 15,924,729 52.132633 5.291266
## 116 4.07 4,258,860 -40.900557 174.885971
## 117 6.84 3,846,137 12.865416 -85.207229
## 118 0.47 3,850,231 17.607789 8.081666
## 119 8.10 102,806,948 9.081999 8.675277
## 120 2.74 15,947,412 40.339852 127.510093
## 121 3.35 4,418,218 60.472024 8.468946
## 122 2.67 4,250,777 21.473533 55.975413
## 123 4.45 79,927,762 30.375321 69.345116
## 124 3.90 2,890,084 8.537981 -80.782127
## 125 2.46 1,162,834 -6.314993 143.955550
## 126 4.81 4,359,150 -23.442503 -58.443832
## 127 3.31 25,390,339 -9.189967 -75.015152
## 128 2.15 50,975,903 12.879721 121.774017
## 129 3.47 22,796,574 51.919438 19.145136
## 130 6.33 6,753,579 39.399872 -8.224454
## 131 0.09 2,809,071 25.354826 51.183884
## 132 3.98 10,468,793 45.943161 24.966760
## 133 4.59 107,683,889 61.524010 105.318756
## 134 1.03 2,186,104 -1.940278 29.873888
## 135 20.71 34,280 13.909444 -60.978893
## 136 18.88 58,185 12.984305 -61.287228
## 137 8.36 35,588 -13.759029 -172.104629
## 138 5.93 28,807,838 23.885942 45.079162
## 139 6.60 7,765,706 14.497401 -14.452362
## 140 12.69 3,907,243 44.016521 21.005859
## 141 NA 55,762 -4.679574 55.491977
## 142 4.43 3,319,366 8.460555 -11.779889
## 143 4.11 5,703,569 1.352083 103.819836
## 144 5.56 2,930,419 48.669026 19.699024
## 145 4.20 1,144,654 46.151241 14.995463
## 146 0.58 162,164 -9.645710 160.156194
## 147 11.35 7,034,861 5.152149 46.199616
## 148 28.18 39,149,717 -30.559482 22.937506
## 149 4.15 42,106,719 35.907757 127.766922
## 150 13.96 37,927,409 40.463667 -3.749220
## 151 4.20 4,052,088 7.873054 80.771797
## 152 16.53 14,957,233 12.862807 30.217636
## 153 7.33 384,258 3.919305 -56.027783
## 154 6.48 9,021,165 60.128161 18.643501
## 155 4.58 6,332,428 46.818188 8.227512
## 156 8.37 9,358,019 34.802075 38.996815
## 157 11.02 2,545,477 38.861034 71.276093
## 158 1.98 20,011,885 -6.369028 34.888822
## 159 0.75 35,294,600 15.870032 100.992541
## 160 4.55 400,182 -8.874217 125.727539
## 161 2.04 3,414,638 8.619543 0.824782
## 162 1.12 24,145 -21.178986 -175.198242
## 163 2.69 741,944 10.691803 -61.222503
## 164 16.02 8,099,061 33.886917 9.537499
## 165 13.49 63,097,818 38.963745 35.243322
## 166 3.91 3,092,738 38.969719 59.556278
## 167 1.84 10,784,516 1.373333 32.290275
## 168 8.88 30,835,699 48.379433 31.165580
## 169 2.35 8,479,744 23.424076 53.847818
## 170 3.85 55,908,316 55.378051 -3.435973
## 171 14.70 270,663,028 37.090240 -95.712891
## 172 8.73 3,303,394 -32.522779 -55.765835
## 173 5.92 16,935,729 41.377491 64.585262
## 174 4.39 76,152 -15.376706 166.959158
## 175 8.80 25,162,368 6.423750 -66.589730
## 176 2.01 35,332,140 14.058324 108.277199
## 177 12.91 10,869,523 15.552727 48.516388
## 178 11.43 7,871,713 -13.133897 27.849332
## 179 4.95 4,717,305 -19.015438 29.154857##Membuat kolom country status
data <- data %>%
mutate(country_status = case_when(
`Unemployment.rate` < 1 ~ "rich",
`Unemployment.rate` >= 0.999 & `Unemployment.rate` < 5 ~ "developing",
`Unemployment.rate` >= 4.999 ~ "poor"
))
data## Country Density..P.Km2. Abbreviation
## 1 Afghanistan 60 AF
## 2 Albania 105 AL
## 3 Algeria 18 DZ
## 4 Angola 26 AO
## 5 Antigua and Barbuda 223 AG
## 6 Argentina 17 AR
## 7 Armenia 104 AM
## 8 Australia 3 AU
## 9 Austria 109 AT
## 10 Azerbaijan 123 AZ
## 11 The Bahamas 39 BS
## 12 Bahrain 2,239 BH
## 13 Bangladesh 1,265 BD
## 14 Barbados 668 BB
## 15 Belarus 47 BY
## 16 Belgium 383 BE
## 17 Belize 17 BZ
## 18 Benin 108 BJ
## 19 Bhutan 20 BT
## 20 Bolivia 11 BO
## 21 Bosnia and Herzegovina 64 BA
## 22 Botswana 4 BW
## 23 Brazil 25 BR
## 24 Brunei 83 BN
## 25 Bulgaria 64 BG
## 26 Burkina Faso 76 BF
## 27 Burundi 463 BI
## 28 Ivory Coast 83 CI
## 29 Cape Verde 138 CV
## 30 Cambodia 95 KH
## 31 Cameroon 56 CM
## 32 Canada 4 CA
## 33 Central African Republic 8 CF
## 34 Chad 13 TD
## 35 Chile 26 CL
## 36 China 153 CN
## 37 Colombia 46 CO
## 38 Comoros 467 KM
## 39 Republic of the Congo 16
## 40 Costa Rica 100 CR
## 41 Croatia 73 HR
## 42 Cuba 106 CU
## 43 Cyprus 131 CY
## 44 Czech Republic 139 CZ
## 45 Democratic Republic of the Congo 40 CD
## 46 Denmark 137 DK
## 47 Djibouti 43 DJ
## 48 Dominican Republic 225 DO
## 49 Ecuador 71 EC
## 50 Egypt 103 EG
## 51 El Salvador 313 SV
## 52 Equatorial Guinea 50 GQ
## 53 Eritrea 35 ER
## 54 Estonia 31 EE
## 55 Ethiopia 115 ET
## 56 Fiji 49 FJ
## 57 Finland 18 FI
## 58 France 119 FR
## 59 Gabon 9 GA
## 60 The Gambia 239 GM
## 61 Georgia 57 GE
## 62 Germany 240 DE
## 63 Ghana 137 GH
## 64 Greece 81 GR
## 65 Grenada 331 GD
## 66 Guatemala 167 GT
## 67 Guinea 53 GN
## 68 Guinea-Bissau 70 GW
## 69 Guyana 4 GY
## 70 Haiti 414 HT
## 71 Honduras 89 HN
## 72 Hungary 107 HU
## 73 Iceland 3 IS
## 74 India 464 IN
## 75 Indonesia 151 ID
## 76 Iran 52 IR
## 77 Iraq 93 IQ
## 78 Republic of Ireland 72
## 79 Israel 400 IL
## 80 Italy 206 IT
## 81 Jamaica 273 JM
## 82 Japan 347 JP
## 83 Jordan 115 JO
## 84 Kazakhstan 7 KZ
## 85 Kenya 94 KE
## 86 Kiribati 147 KI
## 87 Kuwait 240 KW
## 88 Kyrgyzstan 34 KG
## 89 Laos 32 LA
## 90 Latvia 30 LV
## 91 Lebanon 667 LB
## 92 Lesotho 71 LS
## 93 Liberia 53 LR
## 94 Libya 4 LY
## 95 Lithuania 43 LT
## 96 Luxembourg 242 LU
## 97 Madagascar 48 MG
## 98 Malawi 203 MW
## 99 Malaysia 99 MY
## 100 Maldives 1,802 MV
## 101 Mali 17 ML
## 102 Malta 1,380 MT
## 103 Mauritania 5 MR
## 104 Mauritius 626 MU
## 105 Mexico 66 MX
## 106 Federated States of Micronesia 784 FM
## 107 Moldova 123 MD
## 108 Mongolia 2 MN
## 109 Montenegro 47 ME
## 110 Morocco 83 MA
## 111 Mozambique 40 MZ
## 112 Myanmar 83 MM
## 113 Namibia 3
## 114 Nepal 203 NP
## 115 Netherlands 508 NL
## 116 New Zealand 18 NZ
## 117 Nicaragua 55 NI
## 118 Niger 19 NE
## 119 Nigeria 226 NG
## 120 North Korea 214 KP
## 121 Norway 15 NO
## 122 Oman 16 OM
## 123 Pakistan 287 PK
## 124 Panama 58 PA
## 125 Papua New Guinea 20 PG
## 126 Paraguay 18 PY
## 127 Peru 26 PE
## 128 Philippines 368 PH
## 129 Poland 124 PL
## 130 Portugal 111 PT
## 131 Qatar 248 QA
## 132 Romania 84 RO
## 133 Russia 9 RU
## 134 Rwanda 525 RW
## 135 Saint Lucia 301 LC
## 136 Saint Vincent and the Grenadines 284 VC
## 137 Samoa 70 WS
## 138 Saudi Arabia 16 SA
## 139 Senegal 87 SN
## 140 Serbia 100 RS
## 141 Seychelles 214 SC
## 142 Sierra Leone 111 SL
## 143 Singapore 8,358 SG
## 144 Slovakia 114 SK
## 145 Slovenia 103 SI
## 146 Solomon Islands 25 SB
## 147 Somalia 25 SO
## 148 South Africa 49 ZA
## 149 South Korea 527 KR
## 150 Spain 94 ES
## 151 Sri Lanka 341 LK
## 152 Sudan 25 SD
## 153 Suriname 4 SR
## 154 Sweden 25 SE
## 155 Switzerland 219 CH
## 156 Syria 95 SY
## 157 Tajikistan 68 TJ
## 158 Tanzania 67 TZ
## 159 Thailand 137 TH
## 160 East Timor 89 TL
## 161 Togo 152 TG
## 162 Tonga 147 TO
## 163 Trinidad and Tobago 273 TT
## 164 Tunisia 76 TN
## 165 Turkey 110 TR
## 166 Turkmenistan 13 TM
## 167 Uganda 229 UG
## 168 Ukraine 75 UA
## 169 United Arab Emirates 118 AE
## 170 United Kingdom 281 GB
## 171 United States 36 US
## 172 Uruguay 20 UY
## 173 Uzbekistan 79 UZ
## 174 Vanuatu 25 VU
## 175 Venezuela 32 VE
## 176 Vietnam 314 VN
## 177 Yemen 56 YE
## 178 Zambia 25 ZM
## 179 Zimbabwe 38 ZW
## Agricultural.Land.... Land.Area.Km2. Armed.Forces.size Birth.Rate
## 1 58.1 652,230 323,000 32.49
## 2 43.1 28,748 9,000 11.78
## 3 17.4 2,381,741 317,000 24.28
## 4 47.5 1,246,700 117,000 40.73
## 5 20.5 443 0 15.33
## 6 54.3 2,780,400 105,000 17.02
## 7 58.9 29,743 49,000 13.99
## 8 48.2 7,741,220 58,000 12.60
## 9 32.4 83,871 21,000 9.70
## 10 57.7 86,600 82,000 14.00
## 11 1.4 13,880 1,000 13.97
## 12 11.1 765 19,000 13.99
## 13 70.6 148,460 221,000 18.18
## 14 23.3 430 1,000 10.65
## 15 42.0 207,600 155,000 9.90
## 16 44.6 30,528 32,000 10.30
## 17 7.0 22,966 2,000 20.79
## 18 33.3 112,622 12,000 36.22
## 19 13.6 38,394 6,000 17.26
## 20 34.8 1,098,581 71,000 21.75
## 21 43.1 51,197 11,000 8.11
## 22 45.6 581,730 9,000 24.82
## 23 33.9 8,515,770 730,000 13.92
## 24 2.7 5,765 8,000 14.90
## 25 46.3 110,879 31,000 8.90
## 26 44.2 274,200 11,000 37.93
## 27 79.2 27,830 31,000 39.01
## 28 64.8 322,463 27,000 35.74
## 29 19.6 4,033 1,000 19.49
## 30 30.9 181,035 191,000 22.46
## 31 20.6 475,440 24,000 35.39
## 32 6.9 9,984,670 72,000 10.10
## 33 8.2 622,984 8,000 35.35
## 34 39.7 1,284,000 35,000 42.17
## 35 21.2 756,096 122,000 12.43
## 36 56.2 9,596,960 2,695,000 10.90
## 37 40.3 1,138,910 481,000 14.88
## 38 71.5 2,235 31.88
## 39 31.1 342,000 12,000 32.86
## 40 34.5 51,100 10,000 13.97
## 41 27.6 56,594 18,000 9.00
## 42 59.9 110,860 76,000 10.17
## 43 12.2 9,251 16,000 10.46
## 44 45.2 78,867 23,000 10.70
## 45 11.6 2,344,858 134,000 41.18
## 46 62.0 43,094 15,000 10.60
## 47 73.4 23,200 13,000 21.47
## 48 48.7 48,670 71,000 19.51
## 49 22.2 283,561 41,000 19.72
## 50 3.8 1,001,450 836,000 26.38
## 51 76.4 21,041 42,000 18.25
## 52 10.1 28,051 1,000 33.24
## 53 75.2 117,600 202,000 30.30
## 54 23.1 45,228 6,000 10.90
## 55 36.3 1,104,300 138,000 32.34
## 56 23.3 18,274 4,000 21.28
## 57 7.5 338,145 25,000 8.60
## 58 52.4 643,801 307,000 11.30
## 59 20.0 267,667 7,000 31.61
## 60 59.8 11,300 1,000 38.54
## 61 34.5 69,700 26,000 13.47
## 62 47.7 357,022 180,000 9.50
## 63 69.0 238,533 16,000 29.41
## 64 47.6 131,957 146,000 8.10
## 65 23.5 349 16.47
## 66 36.0 108,889 43,000 24.56
## 67 59.0 245,857 13,000 36.36
## 68 58.0 36,125 4,000 35.13
## 69 8.6 214,969 3,000 19.97
## 70 66.8 27,750 0 24.35
## 71 28.9 112,090 23,000 21.60
## 72 58.4 93,028 40,000 9.60
## 73 18.7 103,000 0 12.00
## 74 60.4 3,287,263 3,031,000 17.86
## 75 31.5 1,904,569 676,000 18.07
## 76 28.2 1,648,195 563,000 18.78
## 77 21.4 438,317 209,000 29.08
## 78 64.5 70,273 9,000 12.50
## 79 24.6 20,770 178,000 20.80
## 80 43.2 301,340 347,000 7.30
## 81 41.0 10,991 4,000 16.10
## 82 12.3 377,944 261,000 7.40
## 83 12.0 89,342 116,000 21.98
## 84 80.4 2,724,900 71,000 21.77
## 85 48.5 580,367 29,000 28.75
## 86 42.0 811 27.89
## 87 8.4 17,818 25,000 13.94
## 88 55.0 199,951 21,000 27.10
## 89 10.3 236,800 129,000 23.55
## 90 31.1 64,589 6,000 10.00
## 91 64.3 10,400 80,000 17.55
## 92 77.6 30,355 2,000 26.81
## 93 28.0 111,369 2,000 33.04
## 94 8.7 1,759,540 0 18.83
## 95 47.2 65,300 34,000 10.00
## 96 53.7 2,586 2,000 10.30
## 97 71.2 587,041 22,000 32.66
## 98 61.4 118,484 15,000 34.12
## 99 26.3 329,847 136,000 16.75
## 100 26.3 298 5,000 14.20
## 101 33.8 1,240,192 18,000 41.54
## 102 32.4 316 2,000 9.20
## 103 38.5 1,030,700 21,000 33.69
## 104 42.4 2,040 3,000 10.20
## 105 54.6 1,964,375 336,000 17.60
## 106 31.4 702 22.82
## 107 74.2 33,851 7,000 10.10
## 108 71.5 1,564,116 18,000 24.13
## 109 19.0 13,812 12,000 11.73
## 110 68.5 446,550 246,000 18.94
## 111 63.5 799,380 11,000 37.52
## 112 19.5 676,578 513,000 17.55
## 113 47.1 824,292 16,000 28.64
## 114 28.7 147,181 112,000 19.89
## 115 53.3 41,543 41,000 9.70
## 116 40.5 268,838 9,000 11.98
## 117 42.1 130,370 12,000 20.64
## 118 36.1 1,267,000 10,000 46.08
## 119 77.7 923,768 215,000 37.91
## 120 21.8 120,538 1,469,000 13.89
## 121 2.7 323,802 23,000 10.40
## 122 4.6 309,500 47,000 19.19
## 123 47.8 796,095 936,000 28.25
## 124 30.4 75,420 26,000 18.98
## 125 2.6 462,840 4,000 27.07
## 126 55.1 406,752 27,000 20.57
## 127 18.5 1,285,216 158,000 17.95
## 128 41.7 300,000 153,000 20.55
## 129 46.9 312,685 191,000 10.20
## 130 39.5 92,212 52,000 8.50
## 131 5.8 11,586 22,000 9.54
## 132 58.8 238,391 126,000 9.60
## 133 13.3 17,098,240 1,454,000 11.50
## 134 73.4 26,338 35,000 31.70
## 135 17.4 616 12.00
## 136 25.6 389 14.24
## 137 12.4 2,831 24.38
## 138 80.8 2,149,690 252,000 17.80
## 139 46.1 196,722 19,000 34.52
## 140 39.3 77,474 32,000 9.20
## 141 3.4 455 0 17.10
## 142 54.7 71,740 9,000 33.41
## 143 0.9 716 81,000 8.80
## 144 39.2 49,035 16,000 10.60
## 145 30.7 20,273 7,000 9.40
## 146 3.9 28,896 32.44
## 147 70.3 637,657 20,000 41.75
## 148 79.8 1,219,090 80,000 20.51
## 149 17.4 99,720 634,000 6.40
## 150 52.6 505,370 196,000 7.90
## 151 43.7 65,610 317,000 15.83
## 152 28.7 1,861,484 124,000 32.18
## 153 0.6 163,820 2,000 18.54
## 154 7.4 450,295 30,000 11.40
## 155 38.4 41,277 21,000 10.00
## 156 75.8 185,180 239,000 23.69
## 157 34.1 144,100 17,000 30.76
## 158 44.8 947,300 28,000 36.70
## 159 43.3 513,120 455,000 10.34
## 160 25.6 14,874 2,000 29.42
## 161 70.2 56,785 10,000 33.11
## 162 45.8 747 24.30
## 163 10.5 5,128 4,000 12.94
## 164 64.8 163,610 48,000 17.56
## 165 49.8 783,562 512,000 16.03
## 166 72.0 488,100 42,000 23.83
## 167 71.9 241,038 46,000 38.14
## 168 71.7 603,550 297,000 8.70
## 169 5.5 83,600 63,000 10.33
## 170 71.7 243,610 148,000 11.00
## 171 44.4 9,833,517 1,359,000 11.60
## 172 82.6 176,215 22,000 13.86
## 173 62.9 447,400 68,000 23.30
## 174 15.3 12,189 29.60
## 175 24.5 912,050 343,000 17.88
## 176 39.3 331,210 522,000 16.75
## 177 44.6 527,968 40,000 30.45
## 178 32.1 752,618 16,000 36.19
## 179 41.9 390,757 51,000 30.68
## Calling.Code Capital.Major.City Co2.Emissions CPI CPI.Change....
## 1 93 Kabul 8,672 149.9 2.3
## 2 355 Tirana 4,536 119.05 1.4
## 3 213 Algiers 150,006 151.36 2.0
## 4 244 Luanda 34,693 261.73 17.1
## 5 1 St. John's, Saint John 557 113.81 1.2
## 6 54 Buenos Aires 201,348 232.75 53.5
## 7 374 Yerevan 5,156 129.18 1.4
## 8 61 Canberra 375,908 119.8 1.6
## 9 43 Vienna 61,448 118.06 1.5
## 10 994 Baku 37,620 156.32 2.6
## 11 1 Nassau, Bahamas 1,786 116.22 2.5
## 12 973 Manama 31,694 117.59 2.1
## 13 880 Dhaka 84,246 179.68 5.6
## 14 1 Bridgetown 1,276 134.09 4.1
## 15 375 Minsk 58,280 5.6
## 16 32 City of Brussels 96,889 117.11 1.4
## 17 501 Belmopan 568 105.68 -0.9
## 18 229 Porto-Novo 6,476 110.71 -0.9
## 19 975 Thimphu 1,261 167.18 2.7
## 20 591 Sucre 21,606 148.32 1.8
## 21 387 Sarajevo 21,848 104.9 0.6
## 22 267 Gaborone 6,340 149.75 2.8
## 23 55 Bras��� 462,299 167.4 3.7
## 24 673 Bandar Seri Begawan 7,664 99.03 -0.4
## 25 359 Sofia 41,708 114.42 3.1
## 26 226 Ouagadougou 3,418 106.58 -3.2
## 27 257 Bujumbura 495 182.11 -0.7
## 28 225 Yamoussoukro 9,674 111.61 -0.9
## 29 238 Praia 543 110.5 1.1
## 30 855 Phnom Penh 9,919 127.63 2.5
## 31 237 Yaound� 8,291 118.65 2.5
## 32 1 Ottawa 544,894 116.76 1.9
## 33 236 Bangui 297 186.86 37.1
## 34 235 N'Djamena 1,016 117.7 -1.0
## 35 56 Santiago 85,822 131.91 2.6
## 36 86 Beijing 9,893,038 125.08 2.9
## 37 57 Bogot� 97,814 140.95 3.5
## 38 269 Moroni, Comoros 202 103.62 -4.3
## 39 242 Brazzaville 3,282 124.74 2.2
## 40 506 San Jos������ 8,023 128.85 2.1
## 41 385 Zagreb 17,488 109.82 0.8
## 42 53 Havana 28,284 NA
## 43 357 Nicosia 6,626 102.51 0.3
## 44 420 Prague 102,218 116.48 2.8
## 45 243 Kinshasa 2,021 133.85 2.9
## 46 45 Copenhagen 31,786 110.35 0.8
## 47 253 Djibouti City 620 120.25 3.3
## 48 1 Santo Domingo 25,258 135.5 1.8
## 49 593 Quito 41,155 124.14 0.3
## 50 20 Cairo 238,560 288.57 9.2
## 51 503 San Salvador 7,169 111.23 0.1
## 52 240 Malabo 5,655 124.35 1.2
## 53 291 Asmara 711 NA
## 54 372 Tallinn 16,590 122.14 2.3
## 55 251 Addis Ababa 14,870 143.86 15.8
## 56 679 Suva 2,046 132.3 1.8
## 57 358 Helsinki 45,871 112.33 1.0
## 58 33 Paris 303,276 110.05 1.1
## 59 241 Libreville 5,321 122.19 2.1
## 60 220 Banjul 532 172.73 7.1
## 61 995 Tbilisi 10,128 133.61 4.9
## 62 49 Berlin 727,973 112.85 1.4
## 63 233 Accra 16,670 268.36 7.2
## 64 30 Athens 62,434 101.87 0.2
## 65 1 St. George's, Grenada 268 107.43 0.8
## 66 502 Guatemala City 16,777 142.92 3.7
## 67 224 Conakry 2,996 262.95 9.5
## 68 245 Bissau 293 111.65 1.4
## 69 592 Georgetown, Guyana 2,384 116.19 2.1
## 70 509 Port-au-Prince 2,978 179.29 12.5
## 71 504 Tegucigalpa 9,813 150.34 4.4
## 72 36 Budapest 45,537 121.64 3.3
## 73 354 Reykjav�� 2,065 129 3.0
## 74 91 New Delhi 2,407,672 180.44 7.7
## 75 62 Jakarta 563,325 151.18 3.0
## 76 98 Tehran 661,710 550.93 39.9
## 77 964 Baghdad 190,061 119.86 0.4
## 78 353 Dublin 37,711 106.58 0.9
## 79 972 Jerusalem 65,166 108.15 0.8
## 80 39 Rome 320,411 110.62 0.6
## 81 1876 Kingston, Jamaica 8,225 162.47 3.9
## 82 81 Tokyo 1,135,886 105.48 0.5
## 83 962 Amman 25,108 125.6 0.8
## 84 7 Astana 247,207 182.75 5.2
## 85 254 Nairobi 17,910 180.51 4.7
## 86 686 South Tarawa 66 99.55 0.6
## 87 965 Kuwait City 98,734 126.6 1.1
## 88 996 Bishkek 9,787 155.68 1.1
## 89 856 Vientiane 17,763 135.87 3.3
## 90 371 Riga 7,004 116.86 2.8
## 91 961 Beirut 24,796 130.02 3.0
## 92 266 Maseru 2,512 155.86 5.2
## 93 231 Monrovia 1,386 223.13 23.6
## 94 218 50,564 125.71 2.6
## 95 370 Vilnius 12,963 118.38 2.3
## 96 352 Luxembourg City 8,988 115.09 1.7
## 97 261 Antananarivo 3,905 184.33 5.6
## 98 265 Lilongwe 1,298 418.34 9.4
## 99 60 Kuala Lumpur 248,289 121.46 0.7
## 100 960 Mal� 1,445 99.7 0.2
## 101 223 Bamako 3,179 108.73 -1.7
## 102 356 Valletta 1,342 113.45 1.6
## 103 222 Nouakchott 2,739 135.02 2.3
## 104 230 Port Louis 4,349 129.91 0.4
## 105 52 Mexico City 486,406 141.54 3.6
## 106 691 Palikir 143 112.1 0.5
## 107 373 Chi���� 5,115 166.2 4.8
## 108 976 Ulaanbaatar 25,368 195.76 7.3
## 109 382 Podgorica 2,017 116.32 2.6
## 110 212 Rabat 61,276 111.07 0.2
## 111 258 Maputo 7,943 182.31 2.8
## 112 95 Naypyidaw 25,280 168.18 8.8
## 113 264 Windhoek 4,228 157.97 3.7
## 114 977 Kathmandu 9,105 188.73 5.6
## 115 31 Amsterdam 170,780 115.91 2.6
## 116 64 Wellington 34,382 114.24 1.6
## 117 505 Managua 5,592 162.74 5.4
## 118 227 Niamey 2,017 109.32 -2.5
## 119 234 Abuja 120,369 267.51 11.4
## 120 850 Pyongyang 28,284 NA
## 121 47 Oslo 41,023 120.27 2.2
## 122 968 Muscat 63,457 113.53 0.1
## 123 92 Islamabad 201,150 182.32 10.6
## 124 507 Panama City 10,715 122.07 -0.4
## 125 675 Port Moresby 7,536 155.99 3.6
## 126 595 Asunci�� 7,407 143.82 2.8
## 127 51 Lima 57,414 129.78 2.1
## 128 63 Manila 122,287 129.61 2.5
## 129 48 Warsaw 299,037 114.11 2.2
## 130 351 Lisbon 48,742 110.62 0.3
## 131 974 Doha 103,259 115.38 -0.7
## 132 40 Bucharest 69,259 123.78 3.8
## 133 7 Moscow 1,732,027 180.75 4.5
## 134 250 Kigali 1,115 151.09 3.4
## 135 1 Castries 414 110.13 1.9
## 136 1 Kingstown 220 109.67 2.3
## 137 685 Apia 246 117.56 1.0
## 138 966 Riyadh 563,449 118.4 -1.2
## 139 221 Dakar 10,902 109.25 1.8
## 140 381 Belgrade 45,221 144 1.8
## 141 248 Victoria, Seychelles 605 129.96 1.8
## 142 232 Freetown 1,093 234.16 14.8
## 143 65 37,535 114.41 0.6
## 144 421 Bratislava 32,424 115.34 2.7
## 145 386 Ljubljana 12,633 111.05 1.6
## 146 677 Honiara 169 133.06 1.6
## 147 252 Mogadishu 645 NA
## 148 27 Pretoria 476,644 158.93 4.1
## 149 82 Seoul 620,302 115.16 0.4
## 150 34 Madrid 244,002 110.96 0.7
## 151 94 Colombo 23,362 155.53 3.5
## 152 249 Khartoum 20,000 1,344.19 51.0
## 153 597 Paramaribo 1,738 294.66 22.0
## 154 46 Stockholm 43,252 110.51 1.8
## 155 41 Bern 34,477 99.55 0.4
## 156 963 Damascus 28,830 143.2 36.7
## 157 992 Dushanbe 5,310 148.57 6.0
## 158 255 Dodoma 11,973 187.43 3.5
## 159 66 Bangkok 283,763 113.27 0.7
## 160 670 Dili 495 145.38 2.6
## 161 228 Lom� 3,000 113.3 0.7
## 162 676 Nuku���� 128 121.09 7.4
## 163 1 Port of Spain 43,868 141.75 1.0
## 164 216 Tunis 29,937 155.33 6.7
## 165 90 Ankara 372,725 234.44 15.2
## 166 993 Ashgabat 70,630 NA
## 167 256 Kampala 5,680 173.87 2.9
## 168 380 Kyiv 202,250 281.66 7.9
## 169 971 Abu Dhabi 206,324 114.52 -1.9
## 170 44 London 379,025 119.62 1.7
## 171 1 Washington, D.C. 5,006,302 117.24 7.5
## 172 598 Montevideo 6,766 202.92 7.9
## 173 998 Tashkent 91,811 NA
## 174 678 Port Vila 147 117.13 2.8
## 175 58 Caracas 164,175 2,740.27 254.9
## 176 84 Hanoi 192,668 163.52 2.8
## 177 967 Sanaa 10,609 157.58 8.1
## 178 260 Lusaka 5,141 212.31 9.2
## 179 263 Harare 10,983 105.51 0.9
## Currency.Code Fertility.Rate Forested.Area.... Gasoline.Price GDP
## 1 AFN 4.47 2.1 10500 2.865203e+14
## 2 ALL 1.62 28.1 20400 2.291712e+14
## 3 DZD 3.02 0.8 4200 2.549824e+15
## 4 AOA 5.52 46.3 14550 1.419531e+15
## 5 XCD 1.99 22.3 14850 2.591639e+13
## 6 ARS 2.26 9.8 16500 6.744952e+15
## 7 AMD 1.76 11.7 11550 2.050920e+14
## 8 AUD 1.74 16.3 13950 2.089021e+16
## 9 EUR 1.47 46.9 18000 6.694721e+15
## 10 AZN 1.73 14.1 8400 5.881050e+14
## 11 1.75 51.4 13800 1.924050e+14
## 12 BHD 1.99 0.8 6450 5.786110e+14
## 13 BDT 2.04 11.0 16800 4.538569e+15
## 14 BBD 1.62 14.7 27150 7.813500e+13
## 15 BYN 1.45 42.6 9000 9.462069e+14
## 16 EUR 1.62 22.6 21450 7.944101e+15
## 17 BZD 2.31 59.7 16950 2.819420e+13
## 18 XOF 4.84 37.8 10800 2.158606e+14
## 19 1.98 72.5 14700 3.670011e+13
## 20 BOB 2.73 50.3 10650 6.134298e+14
## 21 BAM 1.27 42.7 15750 3.007177e+14
## 22 BWP 2.87 18.9 10650 2.751077e+14
## 23 BRL 1.73 58.9 15300 2.759637e+16
## 24 BND 1.85 72.1 5550 2.020413e+14
## 25 BGN 1.56 35.4 16650 1.290000e+15
## 26 XOF 5.19 19.3 14700 2.361872e+14
## 27 BIF 5.41 10.9 18150 4.518502e+13
## 28 XOF 4.65 32.7 13950 8.818831e+14
## 29 CVE 2.27 22.5 15300 2.972769e+13
## 30 2.50 52.9 13500 4.063408e+14
## 31 XAF 4.57 39.3 15450 5.814070e+14
## 32 CAD 1.50 38.2 12150 2.604638e+16
## 33 4.72 35.6 21150 3.330461e+13
## 34 XAF 5.75 3.8 11700 1.697243e+14
## 35 CLP 1.65 24.3 15450 4.234772e+15
## 36 CNY 1.69 22.4 14400 2.986500e+17
## 37 COP 1.81 52.7 10200 4.857042e+15
## 38 KMF 4.21 19.7 NA 1.778593e+13
## 39 XAF 4.43 65.4 14550 1.623089e+14
## 40 CRC 1.75 54.6 14700 9.266092e+14
## 41 HRK 1.47 34.4 18900 9.062333e+14
## 42 CUP 1.62 31.3 21000 1.500345e+15
## 43 EUR 1.33 18.7 18450 3.684697e+14
## 44 CZK 1.69 34.6 17550 3.697339e+15
## 45 CDF 5.92 67.2 22350 7.097944e+14
## 46 DKK 1.73 14.7 23250 5.221170e+15
## 47 DJF 2.73 0.2 19800 4.978075e+13
## 48 DOP 2.35 41.7 16050 1.334119e+15
## 49 USD 2.43 50.2 9150 1.611535e+15
## 50 EGP 3.33 0.1 6000 4.547627e+15
## 51 2.04 12.6 12450 4.053396e+14
## 52 XAF 4.51 55.5 NA 1.654016e+14
## 53 ERN 4.06 14.9 30000 3.097502e+13
## 54 EUR 1.59 51.3 17100 4.708042e+14
## 55 ETB 4.25 12.5 11250 1.441615e+15
## 56 FJD 2.77 55.9 12300 8.303323e+13
## 57 EUR 1.41 73.1 21750 4.031418e+15
## 58 EUR 1.88 31.2 20850 4.073277e+16
## 59 XAF 3.97 90.0 13800 2.498694e+14
## 60 GMD 5.22 48.4 17700 2.645729e+13
## 61 GEL 2.06 40.6 11400 2.661479e+14
## 62 EUR 1.56 32.7 20850 5.768445e+16
## 63 GHS 3.87 41.2 13800 1.004755e+15
## 64 EUR 1.35 31.7 23100 3.147791e+15
## 65 XCD 2.06 50.0 16800 1.842256e+13
## 66 GTQ 2.87 32.7 11850 1.150656e+15
## 67 GNF 4.70 25.8 13500 2.038542e+14
## 68 XOF 4.48 69.8 NA 2.010584e+13
## 69 GYD 2.46 83.9 13500 6.420665e+13
## 70 HTG 2.94 3.5 12150 1.274847e+14
## 71 HNL 2.46 40.0 14700 3.764309e+14
## 72 HUF 1.54 22.9 17700 2.414507e+15
## 73 ISK 1.71 0.5 25350 3.628205e+14
## 74 INR 2.22 23.8 14550 3.916500e+16
## 75 IDR 2.31 49.9 9450 1.678786e+16
## 76 IRR 2.14 6.6 6000 6.680179e+15
## 77 IQD 3.67 1.9 9150 3.511411e+15
## 78 EUR 1.75 11.0 20550 5.830481e+15
## 79 ILS 3.09 7.7 23550 5.926480e+15
## 80 EUR 1.29 31.8 24150 3.001867e+16
## 81 JMD 1.98 30.9 16650 2.468711e+14
## 82 1.42 68.5 15900 7.622654e+16
## 83 JOD 2.76 1.1 16500 6.561549e+14
## 84 KZT 2.84 1.2 6300 2.702426e+15
## 85 KES 3.49 7.8 14250 1.432546e+15
## 86 AUD 3.57 15.0 NA 2.919708e+12
## 87 KWD 2.08 0.4 5250 2.021418e+15
## 88 KGS 3.30 3.3 8400 1.268193e+14
## 89 LAK 2.67 82.1 13950 2.726076e+14
## 90 EUR 1.60 54.0 17400 5.117580e+14
## 91 LBP 2.09 13.4 11100 8.005056e+14
## 92 3.14 1.6 10500 3.690109e+13
## 93 4.32 43.1 12000 4.605777e+13
## 94 LYD 2.24 0.1 1650 7.811438e+14
## 95 EUR 1.63 34.8 17400 8.132897e+14
## 96 EUR 1.37 35.7 17850 1.066574e+15
## 97 MGA 4.08 21.4 16650 2.112586e+14
## 98 MWK 4.21 33.2 17250 1.150006e+14
## 99 MYR 2.00 67.6 6750 5.470523e+15
## 100 1.87 3.3 24450 8.593873e+13
## 101 XOF 5.88 3.8 16800 2.626521e+14
## 102 EUR 1.23 1.1 20400 2.217923e+14
## 103 MRU 4.56 0.2 16950 1.139063e+14
## 104 MUR 1.41 19.0 16800 2.127067e+14
## 105 MXN 2.13 33.9 10950 1.887430e+16
## 106 USD 3.05 91.9 NA 6.028984e+12
## 107 MDL 1.26 12.6 12000 1.793315e+14
## 108 MNT 2.90 8.0 10800 2.077928e+14
## 109 EUR 1.75 61.5 17400 8.242105e+13
## 110 MAD 2.42 12.6 14850 1.780879e+15
## 111 MZN 4.85 48.0 9750 2.240124e+14
## 112 MMK 2.15 43.6 8100 1.141288e+15
## 113 3.40 8.3 11400 1.854979e+14
## 114 NPR 1.92 25.4 13650 4.596207e+14
## 115 1.59 11.2 25200 1.363606e+16
## 116 NZD 1.71 38.6 21000 3.103931e+15
## 117 NIO 2.40 25.9 13650 1.878137e+14
## 118 XOF 6.91 0.9 13200 1.939222e+14
## 119 NGN 5.39 7.2 6900 6.721806e+15
## 120 KPW 1.90 40.7 8700 4.815000e+14
## 121 NOK 1.56 33.2 26700 6.050045e+15
## 122 OMR 2.89 0.0 6750 1.154746e+15
## 123 PKR 3.51 1.9 11850 4.566000e+15
## 124 2.46 61.9 11100 1.002012e+15
## 125 PGK 3.56 74.1 20400 3.745442e+14
## 126 PYG 2.43 37.7 15600 5.721793e+14
## 127 PEN 2.25 57.7 14850 3.402721e+15
## 128 PHP 2.58 27.8 12900 5.651933e+15
## 129 PLN 1.46 30.9 16050 8.882466e+15
## 130 EUR 1.38 34.6 23100 3.565291e+15
## 131 QAR 1.87 0.0 6000 2.751993e+15
## 132 RON 1.71 30.1 17400 3.751162e+15
## 133 RUB 1.57 49.8 8850 2.549815e+16
## 134 RWF 4.04 19.7 17550 1.518371e+14
## 135 XCD 1.44 33.2 19500 3.183676e+13
## 136 XCD 1.89 69.2 NA 1.238078e+13
## 137 WST 3.88 60.4 13650 1.275983e+13
## 138 SAR 2.32 0.5 3600 1.189450e+16
## 139 XOF 4.63 42.8 17100 3.536713e+14
## 140 RSD 1.49 31.1 17400 7.711375e+14
## 141 SCR 2.41 88.4 NA 2.548265e+13
## 142 SLL 4.26 43.1 16200 5.912211e+13
## 143 SGD 1.14 23.1 18750 5.580938e+15
## 144 EUR 1.52 40.4 19800 1.581335e+15
## 145 EUR 1.60 62.0 19800 8.061324e+14
## 146 SBD 4.40 77.9 NA 2.137611e+13
## 147 SOS 6.07 10.0 21150 7.081091e+13
## 148 ZAR 2.41 7.6 13800 5.271475e+15
## 149 KRW 0.98 63.4 18300 3.043500e+16
## 150 EUR 1.26 36.9 18900 2.091174e+16
## 151 LKR 2.20 32.9 13200 1.260132e+15
## 152 SDG 4.41 8.1 14250 2.835343e+14
## 153 SRD 2.42 98.3 19350 5.977876e+13
## 154 SEK 1.76 68.9 21300 7.962494e+15
## 155 CHF 1.52 31.8 21750 1.054624e+16
## 156 SYP 2.81 2.7 12450 6.060751e+14
## 157 TJS 3.59 3.0 10650 1.217494e+14
## 158 TZS 4.89 51.6 13050 9.476560e+14
## 159 THB 1.53 32.2 10650 8.154750e+15
## 160 USD 4.02 45.4 16500 2.510310e+13
## 161 XOF 4.32 3.1 10650 8.189969e+13
## 162 TOP 3.56 12.5 NA 6.755300e+12
## 163 TTD 1.73 46.0 8100 3.615030e+14
## 164 TND 2.20 6.8 10950 5.819656e+14
## 165 TRY 2.07 15.4 21300 1.131618e+16
## 166 TMT 2.79 8.8 4350 6.114171e+14
## 167 UGX 4.96 9.7 14100 5.158084e+14
## 168 UAH 1.30 16.7 12450 2.306716e+15
## 169 AED 1.41 4.6 7350 6.317134e+15
## 170 GBP 1.68 13.1 21900 4.240670e+16
## 171 USD 1.73 33.9 10650 3.214155e+17
## 172 UYU 1.97 10.7 22500 8.406887e+14
## 173 UZS 2.42 7.5 15450 8.688193e+14
## 174 VUV 3.78 36.1 19650 1.375588e+13
## 175 VED 2.27 52.7 0 7.235390e+15
## 176 VND 2.05 48.1 12000 3.928819e+15
## 177 YER 3.79 1.0 13800 4.037160e+14
## 178 ZMW 4.63 65.2 21000 3.459708e+14
## 179 3.62 35.5 20100 3.216114e+14
## Gross.primary.education.enrollment....
## 1 104.0
## 2 107.0
## 3 109.9
## 4 113.5
## 5 105.0
## 6 109.7
## 7 92.7
## 8 100.3
## 9 103.1
## 10 99.7
## 11 81.4
## 12 99.4
## 13 116.5
## 14 99.4
## 15 100.5
## 16 103.9
## 17 111.7
## 18 122.0
## 19 100.1
## 20 98.2
## 21 NA
## 22 103.2
## 23 115.4
## 24 103.2
## 25 89.3
## 26 96.1
## 27 121.4
## 28 99.8
## 29 104.0
## 30 107.4
## 31 103.4
## 32 100.9
## 33 102.0
## 34 86.8
## 35 101.4
## 36 100.2
## 37 114.5
## 38 99.5
## 39 106.6
## 40 113.3
## 41 96.5
## 42 101.9
## 43 99.3
## 44 100.7
## 45 108.0
## 46 101.3
## 47 75.3
## 48 105.7
## 49 103.3
## 50 106.3
## 51 94.8
## 52 61.8
## 53 68.4
## 54 97.2
## 55 101.0
## 56 106.4
## 57 100.2
## 58 102.5
## 59 139.9
## 60 98.0
## 61 98.6
## 62 104.0
## 63 104.8
## 64 99.6
## 65 106.9
## 66 101.9
## 67 91.5
## 68 118.7
## 69 97.8
## 70 113.6
## 71 91.5
## 72 100.8
## 73 100.4
## 74 113.0
## 75 106.4
## 76 110.7
## 77 108.7
## 78 100.9
## 79 104.9
## 80 101.9
## 81 91.0
## 82 98.8
## 83 81.5
## 84 104.4
## 85 103.2
## 86 101.3
## 87 92.4
## 88 107.6
## 89 102.4
## 90 99.4
## 91 95.1
## 92 120.9
## 93 85.1
## 94 109.0
## 95 103.9
## 96 102.3
## 97 142.5
## 98 142.5
## 99 105.3
## 100 97.1
## 101 75.6
## 102 105.0
## 103 99.9
## 104 101.1
## 105 105.8
## 106 97.2
## 107 90.6
## 108 104.0
## 109 100.0
## 110 113.9
## 111 112.6
## 112 112.3
## 113 124.2
## 114 142.1
## 115 104.2
## 116 100.0
## 117 120.6
## 118 74.7
## 119 84.7
## 120 112.8
## 121 100.3
## 122 103.4
## 123 94.3
## 124 94.4
## 125 108.5
## 126 104.4
## 127 106.9
## 128 107.5
## 129 100.0
## 130 106.2
## 131 103.8
## 132 85.2
## 133 102.6
## 134 133.0
## 135 102.6
## 136 113.4
## 137 110.5
## 138 99.8
## 139 81.0
## 140 100.3
## 141 100.4
## 142 112.8
## 143 100.6
## 144 98.7
## 145 100.4
## 146 106.2
## 147 23.4
## 148 100.9
## 149 98.1
## 150 102.7
## 151 100.2
## 152 76.8
## 153 108.8
## 154 126.6
## 155 105.2
## 156 81.7
## 157 100.9
## 158 94.2
## 159 99.8
## 160 115.3
## 161 123.8
## 162 116.3
## 163 106.2
## 164 115.4
## 165 93.2
## 166 88.4
## 167 102.7
## 168 99.0
## 169 108.4
## 170 101.2
## 171 101.8
## 172 108.5
## 173 104.2
## 174 109.3
## 175 97.2
## 176 110.6
## 177 93.6
## 178 98.7
## 179 109.9
## Gross.tertiary.education.enrollment.... Infant.mortality
## 1 9.7 47.9
## 2 55.0 7.8
## 3 51.4 20.1
## 4 9.3 51.6
## 5 24.8 5.0
## 6 90.0 8.8
## 7 54.6 11.0
## 8 113.1 3.1
## 9 85.1 2.9
## 10 27.7 19.2
## 11 15.1 8.3
## 12 50.5 6.1
## 13 20.6 25.1
## 14 65.4 11.3
## 15 87.4 2.6
## 16 79.7 2.9
## 17 24.7 11.2
## 18 12.3 60.5
## 19 15.6 24.8
## 20 NA 21.8
## 21 23.3 5.0
## 22 24.9 30.0
## 23 51.3 12.8
## 24 31.4 9.8
## 25 71.0 5.9
## 26 6.5 49.0
## 27 6.1 41.0
## 28 9.3 59.4
## 29 23.6 16.7
## 30 13.7 24.0
## 31 12.8 50.6
## 32 68.9 4.3
## 33 3.0 84.5
## 34 3.3 71.4
## 35 88.5 6.2
## 36 50.6 7.4
## 37 55.3 12.2
## 38 9.0 51.3
## 39 12.7 36.2
## 40 55.2 7.6
## 41 67.9 4.0
## 42 41.4 3.7
## 43 75.9 1.9
## 44 64.1 2.7
## 45 6.6 68.2
## 46 80.6 3.6
## 47 5.3 49.8
## 48 59.9 24.1
## 49 44.9 12.2
## 50 35.2 18.1
## 51 29.4 11.8
## 52 1.9 62.6
## 53 3.4 31.3
## 54 69.6 2.1
## 55 8.1 39.1
## 56 16.1 21.6
## 57 88.2 1.4
## 58 65.6 3.4
## 59 8.3 32.7
## 60 2.7 39.0
## 61 63.9 8.7
## 62 70.2 3.1
## 63 15.7 34.9
## 64 136.6 3.6
## 65 104.6 13.7
## 66 21.8 22.1
## 67 11.6 64.9
## 68 2.6 54.0
## 69 11.6 25.1
## 70 1.1 49.5
## 71 26.2 15.1
## 72 48.5 3.6
## 73 71.8 1.5
## 74 28.1 29.9
## 75 36.3 21.1
## 76 68.1 12.4
## 77 16.2 22.5
## 78 77.8 3.1
## 79 63.4 3.0
## 80 61.9 2.6
## 81 27.1 12.4
## 82 63.2 1.8
## 83 34.4 13.9
## 84 61.7 8.8
## 85 11.5 30.6
## 86 NA 41.2
## 87 54.4 6.7
## 88 41.3 16.9
## 89 15.0 37.6
## 90 88.1 3.3
## 91 26.3 6.4
## 92 10.2 65.7
## 93 11.9 53.5
## 94 60.5 10.2
## 95 72.4 3.3
## 96 19.2 1.9
## 97 5.4 38.2
## 98 0.8 35.3
## 99 45.1 6.7
## 100 31.2 7.4
## 101 4.5 62.0
## 102 54.3 6.1
## 103 5.0 51.5
## 104 40.6 13.6
## 105 40.2 11.0
## 106 14.1 25.6
## 107 39.8 13.6
## 108 65.6 14.0
## 109 56.1 2.3
## 110 35.9 19.2
## 111 7.3 54.0
## 112 18.8 36.8
## 113 22.9 29.0
## 114 12.4 26.7
## 115 85.0 3.3
## 116 82.0 4.7
## 117 17.4 15.7
## 118 4.4 48.0
## 119 10.2 75.7
## 120 27.0 13.7
## 121 82.0 2.1
## 122 38.0 9.8
## 123 9.0 57.2
## 124 47.8 13.1
## 125 1.8 38.0
## 126 34.6 17.2
## 127 70.7 11.1
## 128 35.5 22.5
## 129 67.8 3.8
## 130 63.9 3.1
## 131 17.9 5.8
## 132 49.4 6.1
## 133 81.9 6.1
## 134 6.7 27.0
## 135 14.1 14.9
## 136 23.7 14.8
## 137 7.6 13.6
## 138 68.0 6.0
## 139 12.8 31.8
## 140 67.2 4.8
## 141 17.1 12.4
## 142 2.0 78.5
## 143 84.8 2.3
## 144 46.6 4.6
## 145 78.6 1.7
## 146 NA 17.1
## 147 2.5 76.6
## 148 22.4 28.5
## 149 94.3 2.7
## 150 88.9 2.5
## 151 19.6 6.4
## 152 16.9 42.1
## 153 12.6 16.9
## 154 67.0 2.2
## 155 59.6 3.7
## 156 40.1 14.0
## 157 31.3 30.4
## 158 4.0 37.6
## 159 49.3 7.8
## 160 17.8 39.3
## 161 14.5 47.4
## 162 6.4 13.4
## 163 12.0 16.4
## 164 31.7 14.6
## 165 23.9 9.1
## 166 8.0 39.3
## 167 4.8 33.8
## 168 82.7 7.5
## 169 36.8 6.5
## 170 60.0 3.6
## 171 88.2 5.6
## 172 63.1 6.4
## 173 10.1 19.1
## 174 4.7 22.3
## 175 79.3 21.4
## 176 28.5 16.5
## 177 10.2 42.9
## 178 4.1 40.4
## 179 10.0 33.9
## Largest.city Life.expectancy Maternal.mortality.ratio
## 1 Kabul 64.5 638
## 2 Tirana 78.5 15
## 3 Algiers 76.7 112
## 4 Luanda 60.8 241
## 5 St. John's, Saint John 76.9 42
## 6 Buenos Aires 76.5 39
## 7 Yerevan 74.9 26
## 8 Sydney 82.7 6
## 9 Vienna 81.6 5
## 10 Baku 72.9 26
## 11 Nassau, Bahamas 73.8 70
## 12 Riffa 77.2 14
## 13 Dhaka 72.3 173
## 14 Bridgetown 79.1 27
## 15 Minsk 74.2 2
## 16 Brussels 81.6 5
## 17 Belize City 74.5 36
## 18 Cotonou 61.5 397
## 19 Thimphu 71.5 183
## 20 Santa Cruz de la Sierra 71.2 155
## 21 Tuzla Canton 77.3 10
## 22 Gaborone 69.3 144
## 23 S���� 75.7 60
## 24 75.7 31
## 25 Sofia 74.9 10
## 26 Ouagadougou 61.2 320
## 27 Bujumbura 61.2 548
## 28 Abidjan 57.4 617
## 29 Praia 72.8 58
## 30 Phnom Penh 69.6 160
## 31 Douala 58.9 529
## 32 Toronto 81.9 10
## 33 Bangui 52.8 829
## 34 N'Djamena 54.0 1140
## 35 Santiago 80.0 13
## 36 Shanghai 77.0 29
## 37 Bogot� 77.1 83
## 38 Moroni, Comoros 64.1 273
## 39 Brazzaville 64.3 378
## 40 San Jos������ 80.1 27
## 41 Zagreb 78.1 8
## 42 Havana 78.7 36
## 43 Statos������� 80.8 6
## 44 Prague 79.0 3
## 45 Kinshasa 60.4 473
## 46 Copenhagen 81.0 4
## 47 Djibouti City 66.6 248
## 48 Santo Domingo 73.9 95
## 49 Quito 76.8 59
## 50 Cairo 71.8 37
## 51 San Salvador 73.1 46
## 52 Malabo 58.4 301
## 53 Asmara 65.9 480
## 54 Tallinn 78.2 9
## 55 Addis Ababa 66.2 401
## 56 Suva 67.3 34
## 57 Helsinki 81.7 3
## 58 Paris 82.5 8
## 59 Libreville 66.2 252
## 60 Serekunda 61.7 597
## 61 Tbilisi 73.6 25
## 62 Berlin 80.9 7
## 63 Accra 63.8 308
## 64 Macedonia 81.3 3
## 65 St. George's, Grenada 72.4 25
## 66 Guatemala City 74.1 95
## 67 Kankan 61.2 576
## 68 Bissau 58.0 667
## 69 Georgetown, Guyana 69.8 169
## 70 Port-au-Prince 63.7 480
## 71 Tegucigalpa 75.1 65
## 72 Budapest 75.8 12
## 73 Reykjav�� 82.7 4
## 74 Kurebhar 69.4 145
## 75 Kalimantan 71.5 177
## 76 Tehran 76.5 16
## 77 Baghdad 70.5 79
## 78 Connacht 82.3 5
## 79 Jerusalem 82.8 3
## 80 Rome 82.9 2
## 81 Kingston, Jamaica 74.4 80
## 82 Tokyo 84.2 5
## 83 Amman 74.4 46
## 84 Almaty 73.2 10
## 85 Nairobi 66.3 342
## 86 South Tarawa 68.1 92
## 87 Kuwait City 75.4 12
## 88 Bishkek 71.4 60
## 89 Vientiane 67.6 185
## 90 Riga 74.7 19
## 91 Tripoli, Lebanon 78.9 29
## 92 Maseru 53.7 544
## 93 Monrovia 63.7 661
## 94 72.7 72
## 95 Vilnius 75.7 8
## 96 Luxembourg City 82.1 5
## 97 Antananarivo 66.7 335
## 98 Lilongwe 63.8 349
## 99 Johor Bahru 76.0 29
## 100 Mal� 78.6 53
## 101 Bamako 58.9 562
## 102 Birkirkara 82.3 6
## 103 Nouakchott 64.7 766
## 104 Port Louis 74.4 61
## 105 Mexico City 75.0 33
## 106 Palikir 67.8 88
## 107 Chi���� 71.8 19
## 108 Ulaanbaatar 69.7 45
## 109 Podgorica 76.8 6
## 110 Casablanca 76.5 70
## 111 Maputo 60.2 289
## 112 Yangon 66.9 250
## 113 Windhoek 63.4 195
## 114 Kathmandu 70.5 186
## 115 Amsterdam 81.8 5
## 116 Auckland 81.9 9
## 117 Managua 74.3 98
## 118 Niamey 62.0 509
## 119 Lagos 54.3 917
## 120 Pyongyang 72.1 89
## 121 Oslo 82.8 2
## 122 Seeb 77.6 19
## 123 Karachi 67.1 140
## 124 Panama City 78.3 52
## 125 Port Moresby 64.3 145
## 126 Ciudad del Este 74.1 129
## 127 Lima 76.5 88
## 128 Manila 71.1 121
## 129 Warsaw 77.6 2
## 130 Lisbon 81.3 8
## 131 Doha 80.1 9
## 132 Bucharest 75.4 19
## 133 Moscow 72.7 17
## 134 Kigali 68.7 248
## 135 Castries 76.1 117
## 136 Calliaqua 72.4 68
## 137 Apia 73.2 43
## 138 Riyadh 75.0 17
## 139 Pikine 67.7 315
## 140 Belgrade 75.5 12
## 141 Victoria, Seychelles 72.8 53
## 142 Freetown 54.3 1120
## 143 83.1 8
## 144 Bratislava 77.2 5
## 145 Ljubljana 81.0 7
## 146 Honiara 72.8 104
## 147 Bosaso 57.1 829
## 148 Johannesburg 63.9 119
## 149 Seoul 82.6 11
## 150 Madrid 83.3 4
## 151 Colombo 76.8 36
## 152 Omdurman 65.1 295
## 153 Paramaribo 71.6 120
## 154 S����� 82.5 4
## 155 Z��� 83.6 5
## 156 Damascus 71.8 31
## 157 Dushanbe 70.9 17
## 158 Dar es Salaam 65.0 524
## 159 Bangkok 76.9 37
## 160 Dili 69.3 142
## 161 Lom� 60.8 396
## 162 Nuku���� 70.8 52
## 163 Chaguanas 73.4 67
## 164 Tunis 76.5 43
## 165 Istanbul 77.4 17
## 166 Ashgabat 68.1 7
## 167 Buganda 63.0 375
## 168 Kyiv 71.6 19
## 169 Dubai 77.8 3
## 170 London 81.3 7
## 171 New York City 78.5 19
## 172 Montevideo 77.8 17
## 173 Tashkent 71.6 29
## 174 Port Vila 70.3 72
## 175 Caracas 72.1 125
## 176 Ho Chi Minh City 75.3 43
## 177 Sanaa 66.1 164
## 178 Lusaka 63.5 213
## 179 Harare 61.2 458
## Minimum.wage Official.language Out.of.pocket.health.expenditure
## 1 6450 Pashto 78.4
## 2 16800 Albanian 56.9
## 3 14250 Arabic 28.1
## 4 10650 Portuguese 33.4
## 5 45600 English 24.3
## 6 50250 Spanish 17.6
## 7 9900 Armenian 81.6
## 8 203850 None 19.6
## 9 NA German 17.9
## 10 7050 Azerbaijani language 78.6
## 11 78750 English 27.8
## 12 NA Arabic 25.1
## 13 7650 Bengali 71.8
## 14 46950 English 45.2
## 15 22350 Russian 34.5
## 16 154650 French 17.6
## 17 24750 English 22.7
## 18 5850 French 40.5
## 19 4800 Dzongkha 19.8
## 20 20400 Spanish 25.9
## 21 15600 Bosnian 28.6
## 22 4350 English 5.3
## 23 22950 Portuguese 28.3
## 24 NA Malay 6.0
## 25 23550 Bulgarian 47.7
## 26 5100 French 36.1
## 27 NA Kirundi 19.1
## 28 5400 French 36.0
## 29 10200 Portuguese 23.2
## 30 NA Khmer language 59.4
## 31 5250 French 69.7
## 32 142650 French 14.6
## 33 5550 French 39.6
## 34 9000 French 56.4
## 35 30000 Spanish 32.2
## 36 13050 Standard Chinese 32.4
## 37 18450 Spanish 18.3
## 38 10650 French 74.8
## 39 13200 French 43.8
## 40 27600 Spanish 21.5
## 41 43800 Croatian 15.2
## 42 750 Spanish NA
## 43 NA Greek 43.9
## 44 45000 Czech 14.8
## 45 2700 French 37.4
## 46 NA Danish 13.7
## 47 NA French 20.4
## 48 6000 Spanish 43.7
## 49 36900 Spanish 43.7
## 50 NA Modern Standard Arabic 62.0
## 51 7500 Spanish 27.9
## 52 15750 Spanish 72.0
## 53 NA Tigrinya 52.4
## 54 47100 Estonian 22.8
## 55 NA Amharic 37.8
## 56 19200 Fiji Hindi 21.4
## 57 NA Swedish 19.9
## 58 167400 French 6.8
## 59 21900 French 25.9
## 60 1950 English 20.3
## 61 750 Georgian 57.3
## 62 149850 German 12.5
## 63 4050 English 36.1
## 64 66900 Greek 35.5
## 65 NA English 57.0
## 66 24000 Spanish 55.8
## 67 NA French 54.5
## 68 2400 Portuguese 37.2
## 69 14700 English 40.5
## 70 3750 French 36.3
## 71 15150 Spanish 49.1
## 72 39300 Hungarian 29.0
## 73 NA Icelandic 17.0
## 74 4500 Hindi 65.1
## 75 7200 Indonesian 48.3
## 76 23700 Persian 39.7
## 77 18600 Arabic 76.5
## 78 161850 Irish 15.2
## 79 113700 Hebrew 24.4
## 80 NA Italian 22.8
## 81 19950 Jamaican English 23.7
## 82 101550 None 13.1
## 83 22350 Arabic 25.1
## 84 6150 Russian 38.8
## 85 3750 Swahili 33.4
## 86 NA English 0.2
## 87 14250 Modern Standard Arabic 14.4
## 88 1350 Russian 48.2
## 89 12450 Lao 45.4
## 90 42000 Latvian 41.6
## 91 32250 Arabic 32.1
## 92 6150 English 16.9
## 93 2550 English 19.6
## 94 28200 Arabic 36.7
## 95 36150 Lithuanian 32.1
## 96 195750 Luxembourgish 10.6
## 97 3150 French 21.7
## 98 1800 English 11.0
## 99 13950 Malaysian language 36.7
## 100 NA Divehi 16.4
## 101 3450 French 46.3
## 102 76050 Maltese 37.1
## 103 7950 Arabic 48.2
## 104 5700 French 50.7
## 105 7350 None 41.4
## 106 NA English 2.5
## 107 4650 Romanian 46.2
## 108 9750 Mongolian 39.3
## 109 18450 Montenegrin language 31.8
## 110 24000 Arabic 53.1
## 111 4050 Portuguese 6.8
## 112 5850 Burmese 73.9
## 113 NA English 8.3
## 114 5400 Nepali 60.4
## 115 154350 Dutch 12.3
## 116 172350 English 12.6
## 117 8100 Spanish 36.0
## 118 4350 French 52.3
## 119 8100 English 72.2
## 120 NA Korean NA
## 121 NA Norwegian 14.3
## 122 64950 Arabic 6.4
## 123 10350 Urdu 66.5
## 124 22950 Spanish 30.5
## 125 17400 Tok Pisin 5.8
## 126 23250 Spanish 36.5
## 127 19200 Spanish 30.9
## 128 16800 English 53.5
## 129 43950 Polish 23.2
## 130 56700 Portuguese 27.7
## 131 NA Arabic 6.2
## 132 33750 Romanian 21.3
## 133 7950 Russian 36.4
## 134 NA Swahili 26.0
## 135 NA English 48.4
## 136 17400 English 21.4
## 137 11700 Samoan 11.5
## 138 57750 Arabic 15.0
## 139 4650 French 44.2
## 140 23550 Serbian 40.6
## 141 30000 French 2.5
## 142 8550 English 38.2
## 143 NA Malay 36.7
## 144 46650 Slovak 18.4
## 145 78750 Slovene language 12.5
## 146 6000 English 3.3
## 147 NA Arabic NA
## 148 NA Afrikaans 7.7
## 149 97350 Korean 36.8
## 150 84000 Spanish 24.2
## 151 5250 Tamil 38.4
## 152 6150 Arabic 63.2
## 153 NA Dutch 10.1
## 154 NA Swedish 15.2
## 155 NA German 28.3
## 156 15300 Arabic 53.7
## 157 3450 Persian 63.1
## 158 1350 Swahili 26.1
## 159 15900 Thai 11.8
## 160 9000 Portuguese 10.2
## 161 5100 French 51.0
## 162 NA Tongan Language 10.2
## 163 33750 English 37.3
## 164 7050 Arabic 39.8
## 165 51750 Turkish 16.9
## 166 13200 Turkmen 71.1
## 167 150 Swahili 40.5
## 168 12600 Ukrainian 47.8
## 169 NA Arabic 17.8
## 170 151950 English 14.8
## 171 108750 None 11.1
## 172 24900 Spanish 16.2
## 173 3600 Uzbek 42.7
## 174 23400 French 8.9
## 175 150 Spanish 45.8
## 176 10950 Vietnamese 43.5
## 177 NA Arabic 81.0
## 178 3600 English 27.5
## 179 NA Shona 25.8
## Physicians.per.thousand Population
## 1 0.28 38,041,754
## 2 1.20 2,854,191
## 3 1.72 43,053,054
## 4 0.21 31,825,295
## 5 2.76 97,118
## 6 3.96 44,938,712
## 7 4.40 2,957,731
## 8 3.68 25,766,605
## 9 5.17 8,877,067
## 10 3.45 10,023,318
## 11 1.94 389,482
## 12 0.93 1,501,635
## 13 0.58 167,310,838
## 14 2.48 287,025
## 15 5.19 9,466,856
## 16 3.07 11,484,055
## 17 1.12 390,353
## 18 0.08 11,801,151
## 19 0.42 727,145
## 20 1.59 11,513,100
## 21 2.16 3,301,000
## 22 0.37 2,346,179
## 23 2.15 212,559,417
## 24 1.61 433,285
## 25 4.03 6,975,761
## 26 0.08 20,321,378
## 27 0.10 11,530,580
## 28 0.23 25,716,544
## 29 0.77 483,628
## 30 0.17 16,486,542
## 31 0.09 25,876,380
## 32 2.61 36,991,981
## 33 0.06 4,745,185
## 34 0.04 15,946,876
## 35 2.59 18,952,038
## 36 1.98 1,397,715,000
## 37 2.18 50,339,443
## 38 0.27 850,886
## 39 0.12 5,380,508
## 40 2.89 5,047,561
## 41 3.00 4,067,500
## 42 8.42 11,333,483
## 43 1.95 1,198,575
## 44 4.12 10,669,709
## 45 0.07 86,790,567
## 46 4.01 5,818,553
## 47 0.22 973,560
## 48 1.56 10,738,958
## 49 2.04 17,373,662
## 50 0.45 100,388,073
## 51 1.57 6,453,553
## 52 0.40 1,355,986
## 53 0.06 6,333,135
## 54 4.48 1,331,824
## 55 0.08 112,078,730
## 56 0.84 889,953
## 57 3.81 5,520,314
## 58 3.27 67,059,887
## 59 0.68 2,172,579
## 60 0.10 2,347,706
## 61 7.12 3,720,382
## 62 4.25 83,132,799
## 63 0.14 30,792,608
## 64 5.48 10,716,322
## 65 1.41 112,003
## 66 0.35 16,604,026
## 67 0.08 12,771,246
## 68 0.13 1,920,922
## 69 0.80 782,766
## 70 0.23 11,263,077
## 71 0.31 9,746,117
## 72 3.41 9,769,949
## 73 4.08 361,313
## 74 0.86 1,366,417,754
## 75 0.43 270,203,917
## 76 1.58 82,913,906
## 77 0.71 39,309,783
## 78 3.31 5,007,069
## 79 4.62 9,053,300
## 80 3.98 60,297,396
## 81 1.31 2,948,279
## 82 2.41 126,226,568
## 83 2.32 10,101,694
## 84 3.25 18,513,930
## 85 0.16 52,573,973
## 86 0.20 117,606
## 87 2.58 4,207,083
## 88 1.88 6,456,900
## 89 0.37 7,169,455
## 90 3.19 1,912,789
## 91 2.10 6,855,713
## 92 0.07 2,125,268
## 93 0.04 4,937,374
## 94 2.09 6,777,452
## 95 6.35 2,786,844
## 96 3.01 645,397
## 97 0.18 26,969,307
## 98 0.04 18,628,747
## 99 1.51 32,447,385
## 100 4.56 530,953
## 101 0.13 19,658,031
## 102 2.86 502,653
## 103 0.19 4,525,696
## 104 2.53 1,265,711
## 105 2.38 126,014,024
## 106 0.18 113,815
## 107 3.21 2,657,637
## 108 2.86 3,225,167
## 109 2.76 622,137
## 110 0.73 36,910,560
## 111 0.08 30,366,036
## 112 0.68 54,045,420
## 113 0.42 2,494,530
## 114 0.75 28,608,710
## 115 3.61 17,332,850
## 116 3.59 4,841,000
## 117 0.98 6,545,502
## 118 0.04 23,310,715
## 119 0.38 200,963,599
## 120 3.67 25,666,161
## 121 2.92 5,347,896
## 122 2.00 5,266,535
## 123 0.98 216,565,318
## 124 1.57 4,246,439
## 125 0.07 8,776,109
## 126 1.35 7,044,636
## 127 1.27 32,510,453
## 128 0.60 108,116,615
## 129 2.38 37,970,874
## 130 5.12 10,269,417
## 131 2.49 2,832,067
## 132 2.98 19,356,544
## 133 4.01 144,373,535
## 134 0.13 12,626,950
## 135 0.64 182,790
## 136 0.66 100,455
## 137 0.34 202,506
## 138 2.61 34,268,528
## 139 0.07 16,296,364
## 140 3.11 6,944,975
## 141 0.95 97,625
## 142 0.03 7,813,215
## 143 2.29 5,703,569
## 144 3.42 5,454,073
## 145 3.09 2,087,946
## 146 0.19 669,823
## 147 0.02 15,442,905
## 148 0.91 58,558,270
## 149 2.36 51,709,098
## 150 3.87 47,076,781
## 151 1.00 21,803,000
## 152 0.26 42,813,238
## 153 1.21 581,372
## 154 3.98 10,285,453
## 155 4.30 8,574,832
## 156 1.22 17,070,135
## 157 1.70 9,321,018
## 158 0.01 58,005,463
## 159 0.81 69,625,582
## 160 0.72 3,500,000
## 161 0.08 8,082,366
## 162 0.52 100,209
## 163 4.17 1,394,973
## 164 1.30 11,694,719
## 165 1.85 83,429,615
## 166 2.22 5,942,089
## 167 0.17 44,269,594
## 168 2.99 44,385,155
## 169 2.53 9,770,529
## 170 2.81 66,834,405
## 171 2.61 328,239,523
## 172 5.05 3,461,734
## 173 2.37 33,580,650
## 174 0.17 299,882
## 175 1.92 28,515,829
## 176 0.82 96,462,106
## 177 0.31 29,161,922
## 178 1.19 17,861,030
## 179 0.21 14,645,468
## Population..Labor.force.participation.... Tax.revenue.... Total.tax.rate
## 1 48.9 9.3 71.4
## 2 55.7 18.6 36.6
## 3 41.2 37.2 66.1
## 4 77.5 9.2 49.1
## 5 NA 16.5 43.0
## 6 61.3 10.1 106.3
## 7 55.6 20.9 22.6
## 8 65.5 23.0 47.4
## 9 60.7 25.4 51.4
## 10 66.5 13.0 40.7
## 11 74.6 14.8 33.8
## 12 73.4 4.2 13.8
## 13 59.0 8.8 33.4
## 14 65.2 27.5 35.6
## 15 64.1 14.7 53.3
## 16 53.6 24.0 55.4
## 17 65.1 26.3 31.1
## 18 70.9 10.8 48.9
## 19 66.7 16.0 35.3
## 20 71.8 17.0 83.7
## 21 46.4 20.4 23.7
## 22 70.8 19.5 25.1
## 23 63.9 14.2 65.1
## 24 64.7 NA 8.0
## 25 55.4 20.2 28.3
## 26 66.4 15.0 41.3
## 27 79.2 13.6 41.2
## 28 57.0 11.8 50.1
## 29 60.5 20.1 37.5
## 30 82.3 17.1 23.1
## 31 76.1 12.8 57.7
## 32 65.1 12.8 24.5
## 33 72.0 8.6 73.3
## 34 70.7 NA 63.5
## 35 62.6 18.2 34.0
## 36 68.0 9.4 59.2
## 37 68.8 14.4 71.2
## 38 43.3 NA 219.6
## 39 69.4 9.0 54.3
## 40 62.1 13.6 58.3
## 41 51.2 22.0 20.5
## 42 53.6 NA NA
## 43 63.1 24.5 22.4
## 44 60.6 14.9 46.1
## 45 63.5 10.7 50.7
## 46 62.2 32.4 23.8
## 47 60.2 NA 37.9
## 48 64.3 13.0 48.8
## 49 68.0 NA 34.4
## 50 46.4 12.5 44.4
## 51 59.1 18.1 36.4
## 52 62.0 6.1 79.4
## 53 78.4 NA 83.7
## 54 63.6 20.9 47.8
## 55 79.6 7.5 37.7
## 56 57.6 24.2 32.1
## 57 59.1 20.8 36.6
## 58 55.1 24.2 60.7
## 59 52.9 10.2 47.1
## 60 59.4 9.4 48.4
## 61 68.3 21.7 9.9
## 62 60.8 11.5 48.8
## 63 67.8 12.6 55.4
## 64 51.8 26.2 51.9
## 65 NA 19.4 47.8
## 66 62.3 10.6 35.2
## 67 61.5 10.8 69.3
## 68 72.0 10.3 45.5
## 69 56.2 NA 30.6
## 70 67.2 NA 42.7
## 71 68.8 17.3 39.1
## 72 56.5 23.0 37.9
## 73 75.0 23.3 31.9
## 74 49.3 11.2 49.7
## 75 67.5 10.2 30.1
## 76 44.7 7.4 44.7
## 77 43.0 2.0 30.8
## 78 62.1 18.3 26.1
## 79 64.0 23.1 25.3
## 80 49.6 24.3 59.1
## 81 66.0 26.8 35.1
## 82 61.7 11.9 46.7
## 83 39.3 15.1 28.6
## 84 68.8 11.7 28.4
## 85 74.7 15.1 37.2
## 86 NA 22.0 32.7
## 87 73.5 1.4 13.0
## 88 59.8 18.0 29.0
## 89 78.5 12.9 24.1
## 90 61.4 22.9 38.1
## 91 47.0 15.3 32.2
## 92 67.9 31.6 13.6
## 93 76.3 12.9 46.2
## 94 49.7 NA 32.6
## 95 61.6 16.9 42.6
## 96 59.3 26.5 20.4
## 97 86.1 10.2 38.3
## 98 76.7 17.3 34.5
## 99 64.3 12.0 38.7
## 100 69.8 19.5 30.2
## 101 70.8 11.6 54.5
## 102 56.5 26.2 44.0
## 103 45.9 NA 67.0
## 104 58.3 19.1 22.2
## 105 60.7 13.1 55.1
## 106 NA 25.2 60.5
## 107 43.1 17.7 38.7
## 108 59.7 16.8 25.7
## 109 54.4 NA 22.2
## 110 45.3 21.9 45.8
## 111 78.1 0.0 36.1
## 112 61.7 5.4 31.2
## 113 59.5 27.1 20.7
## 114 83.8 20.7 41.8
## 115 63.6 23.0 41.2
## 116 69.9 29.0 34.6
## 117 66.4 15.6 60.6
## 118 72.0 11.8 47.2
## 119 52.9 1.5 34.8
## 120 80.4 NA NA
## 121 63.8 23.9 36.2
## 122 72.4 2.5 27.4
## 123 52.6 9.2 33.9
## 124 66.6 NA 37.2
## 125 47.2 13.6 37.1
## 126 72.1 10.0 35.0
## 127 77.6 14.3 36.8
## 128 59.6 14.0 43.1
## 129 56.7 17.4 40.8
## 130 58.8 22.8 39.8
## 131 86.8 14.7 11.3
## 132 54.7 14.6 20.0
## 133 61.8 11.4 46.2
## 134 83.7 14.3 33.2
## 135 67.1 18.2 34.7
## 136 65.9 25.4 37.0
## 137 43.7 25.5 19.3
## 138 55.9 8.9 15.7
## 139 45.7 16.3 44.8
## 140 54.9 18.6 36.6
## 141 NA 34.1 30.1
## 142 57.9 8.6 30.7
## 143 70.5 13.1 21.0
## 144 59.5 18.7 49.7
## 145 58.4 18.6 31.0
## 146 83.8 29.5 32.0
## 147 47.4 0.0 NA
## 148 56.0 27.5 29.2
## 149 63.0 15.6 33.2
## 150 57.5 14.2 47.0
## 151 53.9 11.9 55.2
## 152 48.4 8.0 45.4
## 153 51.1 19.5 27.9
## 154 64.6 27.9 49.1
## 155 68.3 10.1 28.8
## 156 44.1 14.2 42.7
## 157 42.0 9.8 67.3
## 158 83.4 11.5 43.8
## 159 67.3 14.9 29.5
## 160 67.3 25.0 17.3
## 161 77.6 16.9 48.2
## 162 59.8 22.3 27.5
## 163 60.0 19.5 40.5
## 164 46.1 21.1 60.7
## 165 52.8 17.9 42.3
## 166 64.5 NA NA
## 167 70.3 11.7 33.7
## 168 54.2 20.1 45.2
## 169 82.1 0.1 15.9
## 170 62.8 25.5 30.6
## 171 62.0 9.6 36.6
## 172 64.0 20.1 41.8
## 173 65.1 14.8 31.6
## 174 69.9 17.8 8.5
## 175 59.7 NA 73.3
## 176 77.4 19.1 37.6
## 177 38.0 NA 26.6
## 178 74.6 16.2 15.6
## 179 83.1 20.7 31.6
## Unemployment.rate Urban_population Latitude Longitude country_status
## 1 11.12 9,797,273 33.939110 67.709953 poor
## 2 12.33 1,747,593 41.153332 20.168331 poor
## 3 11.70 31,510,100 28.033886 1.659626 poor
## 4 6.89 21,061,025 -11.202692 17.873887 poor
## 5 NA 23,800 17.060816 -61.796428 <NA>
## 6 9.79 41,339,571 -38.416097 -63.616672 poor
## 7 16.99 1,869,848 40.069099 45.038189 poor
## 8 5.27 21,844,756 -25.274398 133.775136 poor
## 9 4.67 5,194,416 47.516231 14.550072 developing
## 10 5.51 5,616,165 40.143105 47.576927 poor
## 11 10.36 323,784 25.034280 -77.396280 poor
## 12 0.71 1,467,109 26.066700 50.557700 rich
## 13 4.19 60,987,417 23.684994 90.356331 developing
## 14 10.33 89,431 13.193887 -59.543198 poor
## 15 4.59 7,482,982 53.709807 27.953389 developing
## 16 5.59 11,259,082 50.503887 4.469936 poor
## 17 6.41 179,039 17.189877 -88.497650 poor
## 18 2.23 5,648,149 9.307690 2.315834 developing
## 19 2.34 317,538 27.514162 90.433601 developing
## 20 3.50 8,033,035 -16.290154 -63.588653 developing
## 21 18.42 1,605,144 43.915886 17.679076 poor
## 22 18.19 1,616,550 -22.328474 24.684866 poor
## 23 12.08 183,241,641 -14.235004 -51.925280 poor
## 24 9.12 337,711 4.535277 114.727669 poor
## 25 4.34 5,256,027 42.733883 25.485830 developing
## 26 6.26 6,092,349 12.238333 -1.561593 poor
## 27 1.43 1,541,177 -3.373056 29.918886 developing
## 28 3.32 13,176,900 7.539989 -5.547080 developing
## 29 12.25 364,029 16.538800 -23.041800 poor
## 30 0.68 3,924,621 12.565679 104.990963 rich
## 31 3.38 14,741,256 7.369722 12.354722 developing
## 32 5.56 30,628,482 56.130366 -106.346771 poor
## 33 3.68 1,982,064 6.611111 20.939444 developing
## 34 1.89 3,712,273 15.454166 18.732207 developing
## 35 7.09 16,610,135 -35.675147 -71.542969 poor
## 36 4.32 842,933,962 35.861660 104.195397 developing
## 37 9.71 40,827,302 4.570868 -74.297333 poor
## 38 4.34 248,152 -11.645500 43.333300 developing
## 39 9.47 3,625,010 -0.228021 15.827659 poor
## 40 11.85 4,041,885 9.748917 -83.753428 poor
## 41 6.93 2,328,318 45.100000 15.200000 poor
## 42 1.64 8,739,135 21.521757 -77.781167 developing
## 43 7.27 800,708 35.126413 33.429859 poor
## 44 1.93 7,887,156 49.817492 15.472962 developing
## 45 4.24 39,095,679 -4.038333 21.758664 developing
## 46 4.91 5,119,978 56.263920 9.501785 developing
## 47 10.30 758,549 11.825138 42.590275 poor
## 48 5.84 8,787,475 18.735693 -70.162651 poor
## 49 3.97 11,116,711 -1.831239 -78.183406 developing
## 50 10.76 42,895,824 26.820553 30.802498 poor
## 51 4.11 4,694,702 13.794185 -88.896530 developing
## 52 6.43 984,812 1.650801 10.267895 poor
## 53 5.14 1,149,670 15.179384 39.782334 poor
## 54 5.11 916,024 58.595272 25.013607 poor
## 55 2.08 23,788,710 9.145000 40.489673 developing
## 56 4.10 505,048 -17.713371 178.065032 developing
## 57 6.59 4,716,888 61.924110 25.748151 poor
## 58 8.43 54,123,364 46.227638 2.213749 poor
## 59 20.00 1,949,694 -0.803689 11.609444 poor
## 60 9.06 1,453,958 13.443182 -15.310139 poor
## 61 14.40 2,196,476 42.315407 43.356892 poor
## 62 3.04 64,324,835 51.165691 10.451526 developing
## 63 4.33 17,249,054 7.946527 -1.023194 developing
## 64 17.24 8,507,474 39.074208 21.824312 poor
## 65 NA 40,765 12.116500 -61.679000 <NA>
## 66 2.46 8,540,945 15.783471 -90.230759 developing
## 67 4.30 4,661,505 9.945587 -9.696645 developing
## 68 2.47 840,922 11.803749 -15.180413 developing
## 69 11.85 208,912 4.860416 -58.930180 poor
## 70 13.78 6,328,948 18.971187 -72.285215 poor
## 71 5.39 5,626,433 15.199999 -86.241905 poor
## 72 3.40 6,999,582 47.162494 19.503304 developing
## 73 2.84 339,110 64.963051 -19.020835 developing
## 74 5.36 471,031,528 20.593684 78.962880 poor
## 75 4.69 151,509,724 -0.789275 113.921327 developing
## 76 11.38 62,509,623 32.427908 53.688046 poor
## 77 12.82 27,783,368 33.223191 43.679291 poor
## 78 4.93 3,133,123 53.412910 -8.243890 developing
## 79 3.86 8,374,393 31.046051 34.851612 developing
## 80 9.89 42,651,966 41.871940 12.567380 poor
## 81 8.00 1,650,594 18.109581 -77.297508 poor
## 82 2.29 115,782,416 36.204824 138.252924 developing
## 83 14.72 9,213,048 30.585164 36.238414 poor
## 84 4.59 10,652,915 48.019573 66.923684 developing
## 85 2.64 14,461,523 -0.023559 37.906193 developing
## 86 NA 64,489 1.836898 -157.376832 <NA>
## 87 2.18 4,207,083 29.311660 47.481766 developing
## 88 6.33 2,362,644 41.204380 74.766098 poor
## 89 0.63 2,555,552 19.856270 102.495496 rich
## 90 6.52 1,304,943 56.879635 24.603189 poor
## 91 6.23 6,084,994 33.854721 35.862285 poor
## 92 23.41 607,508 -29.609988 28.233608 poor
## 93 2.81 2,548,426 6.428055 -9.429499 developing
## 94 18.56 5,448,597 26.335100 17.228331 poor
## 95 6.35 1,891,013 55.169438 23.881275 poor
## 96 5.36 565,488 49.815273 6.129583 poor
## 97 1.76 10,210,849 -18.766947 46.869107 developing
## 98 5.65 3,199,301 -13.254308 34.301525 poor
## 99 3.32 24,475,766 4.210484 101.975766 developing
## 100 6.14 213,645 3.202778 73.220680 poor
## 101 7.22 8,479,688 17.570692 -3.996166 poor
## 102 3.47 475,902 35.937496 14.375416 developing
## 103 9.55 2,466,821 21.007890 -10.940835 poor
## 104 6.67 515,980 -20.348404 57.552152 poor
## 105 3.42 102,626,859 23.634501 -102.552784 developing
## 106 NA 25,963 7.425554 150.550812 <NA>
## 107 5.47 1,135,502 47.411631 28.369885 poor
## 108 6.01 2,210,626 46.862496 103.846656 poor
## 109 14.88 417,765 42.708678 19.374390 poor
## 110 9.02 22,975,026 31.791702 -7.092620 poor
## 111 3.24 11,092,106 -18.665695 35.529562 developing
## 112 1.58 16,674,093 21.916221 95.955974 developing
## 113 20.27 1,273,258 -22.957640 18.490410 poor
## 114 1.41 5,765,513 28.394857 84.124008 developing
## 115 3.20 15,924,729 52.132633 5.291266 developing
## 116 4.07 4,258,860 -40.900557 174.885971 developing
## 117 6.84 3,846,137 12.865416 -85.207229 poor
## 118 0.47 3,850,231 17.607789 8.081666 rich
## 119 8.10 102,806,948 9.081999 8.675277 poor
## 120 2.74 15,947,412 40.339852 127.510093 developing
## 121 3.35 4,418,218 60.472024 8.468946 developing
## 122 2.67 4,250,777 21.473533 55.975413 developing
## 123 4.45 79,927,762 30.375321 69.345116 developing
## 124 3.90 2,890,084 8.537981 -80.782127 developing
## 125 2.46 1,162,834 -6.314993 143.955550 developing
## 126 4.81 4,359,150 -23.442503 -58.443832 developing
## 127 3.31 25,390,339 -9.189967 -75.015152 developing
## 128 2.15 50,975,903 12.879721 121.774017 developing
## 129 3.47 22,796,574 51.919438 19.145136 developing
## 130 6.33 6,753,579 39.399872 -8.224454 poor
## 131 0.09 2,809,071 25.354826 51.183884 rich
## 132 3.98 10,468,793 45.943161 24.966760 developing
## 133 4.59 107,683,889 61.524010 105.318756 developing
## 134 1.03 2,186,104 -1.940278 29.873888 developing
## 135 20.71 34,280 13.909444 -60.978893 poor
## 136 18.88 58,185 12.984305 -61.287228 poor
## 137 8.36 35,588 -13.759029 -172.104629 poor
## 138 5.93 28,807,838 23.885942 45.079162 poor
## 139 6.60 7,765,706 14.497401 -14.452362 poor
## 140 12.69 3,907,243 44.016521 21.005859 poor
## 141 NA 55,762 -4.679574 55.491977 <NA>
## 142 4.43 3,319,366 8.460555 -11.779889 developing
## 143 4.11 5,703,569 1.352083 103.819836 developing
## 144 5.56 2,930,419 48.669026 19.699024 poor
## 145 4.20 1,144,654 46.151241 14.995463 developing
## 146 0.58 162,164 -9.645710 160.156194 rich
## 147 11.35 7,034,861 5.152149 46.199616 poor
## 148 28.18 39,149,717 -30.559482 22.937506 poor
## 149 4.15 42,106,719 35.907757 127.766922 developing
## 150 13.96 37,927,409 40.463667 -3.749220 poor
## 151 4.20 4,052,088 7.873054 80.771797 developing
## 152 16.53 14,957,233 12.862807 30.217636 poor
## 153 7.33 384,258 3.919305 -56.027783 poor
## 154 6.48 9,021,165 60.128161 18.643501 poor
## 155 4.58 6,332,428 46.818188 8.227512 developing
## 156 8.37 9,358,019 34.802075 38.996815 poor
## 157 11.02 2,545,477 38.861034 71.276093 poor
## 158 1.98 20,011,885 -6.369028 34.888822 developing
## 159 0.75 35,294,600 15.870032 100.992541 rich
## 160 4.55 400,182 -8.874217 125.727539 developing
## 161 2.04 3,414,638 8.619543 0.824782 developing
## 162 1.12 24,145 -21.178986 -175.198242 developing
## 163 2.69 741,944 10.691803 -61.222503 developing
## 164 16.02 8,099,061 33.886917 9.537499 poor
## 165 13.49 63,097,818 38.963745 35.243322 poor
## 166 3.91 3,092,738 38.969719 59.556278 developing
## 167 1.84 10,784,516 1.373333 32.290275 developing
## 168 8.88 30,835,699 48.379433 31.165580 poor
## 169 2.35 8,479,744 23.424076 53.847818 developing
## 170 3.85 55,908,316 55.378051 -3.435973 developing
## 171 14.70 270,663,028 37.090240 -95.712891 poor
## 172 8.73 3,303,394 -32.522779 -55.765835 poor
## 173 5.92 16,935,729 41.377491 64.585262 poor
## 174 4.39 76,152 -15.376706 166.959158 developing
## 175 8.80 25,162,368 6.423750 -66.589730 poor
## 176 2.01 35,332,140 14.058324 108.277199 developing
## 177 12.91 10,869,523 15.552727 48.516388 poor
## 178 11.43 7,871,713 -13.133897 27.849332 poor
## 179 4.95 4,717,305 -19.015438 29.154857 developing##Menghitung rata-rata dan nilai maksimum GDP dan CPI, dan hitung negara yang kermask kategori "rich", "developing", "poor"
Rataan <- data %>%
group_by(country_status) %>%
summarize(
mean_GDP = mean(as.numeric(GDP), na.rm = TRUE),
max_GDP = max(as.numeric(GDP), na.rm = TRUE),
mean_CPI = mean(as.numeric(CPI), na.rm = TRUE),
max_CPI = max(as.numeric(CPI), na.rm = TRUE),
count_countries = n()
)## Warning: There were 2 warnings in `summarize()`.
## The first warning was:
## ℹ In argument: `mean_CPI = mean(as.numeric(CPI), na.rm = TRUE)`.
## ℹ In group 2: `country_status = "poor"`.
## Caused by warning in `mean()`:
## ! NAs introduced by coercion
## ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning.Rataan## # A tibble: 4 × 6
## country_status mean_GDP max_GDP mean_CPI max_CPI count_countries
## <chr> <dbl> <dbl> <dbl> <dbl> <int>
## 1 developing 9.25e15 2.99e17 141. 268. 77
## 2 poor 7.29e15 3.21e17 151. 551. 90
## 3 rich 1.77e15 8.15e15 122. 136. 7
## 4 <NA> 1.58e13 2.59e13 113. 130. 5##Menampilkan dalam bentuk format long
longformat <- Rataan %>%
pivot_longer(
cols = c(mean_GDP, max_GDP, mean_CPI, max_CPI, count_countries),
names_to = "statistik",
values_to = "value"
)
longformat## # A tibble: 20 × 3
## country_status statistik value
## <chr> <chr> <dbl>
## 1 developing mean_GDP 9.25e15
## 2 developing max_GDP 2.99e17
## 3 developing mean_CPI 1.41e 2
## 4 developing max_CPI 2.68e 2
## 5 developing count_countries 7.7 e 1
## 6 poor mean_GDP 7.29e15
## 7 poor max_GDP 3.21e17
## 8 poor mean_CPI 1.51e 2
## 9 poor max_CPI 5.51e 2
## 10 poor count_countries 9 e 1
## 11 rich mean_GDP 1.77e15
## 12 rich max_GDP 8.15e15
## 13 rich mean_CPI 1.22e 2
## 14 rich max_CPI 1.36e 2
## 15 rich count_countries 7 e 0
## 16 <NA> mean_GDP 1.58e13
## 17 <NA> max_GDP 2.59e13
## 18 <NA> mean_CPI 1.13e 2
## 19 <NA> max_CPI 1.30e 2
## 20 <NA> count_countries 5 e 0